Pandas Profiling Report

Dataset info

Number of variables	52
Number of observations	40364
Missing cells	0 (0.0%)
Duplicate rows	0 (0.0%)
Total size in memory	16.0 MiB
Average record size in memory	416.0 B

Variables types

Numeric	17
Categorical	2
Boolean	0
Date	0
URL	0
Text (Unique)	4
Rejected	26
Unsupported	0

Warnings

`kind` has constant value "features_input_QoE"	Rejected
`pixels` is highly correlated with `dimension` (ρ = 0.941968961)	Rejected
`temporal_dct-corr` has constant value "0.0"	Rejected
`temporal_dct-manhattan` is highly correlated with `temporal_dct-euclidean` (ρ = 0.9191731706)	Rejected
`temporal_dct-max` is highly correlated with `temporal_dct-euclidean` (ρ = 0.9054714712)	Rejected
`temporal_dct-mean` is highly correlated with `temporal_dct-manhattan` (ρ = 0.9999300536)	Rejected
`temporal_dct-std` is highly correlated with `temporal_dct-max` (ρ = 0.9765588113)	Rejected
`temporal_gaussian_difference-corr` has constant value "0.0"	Rejected
`temporal_gaussian_difference-manhattan` is highly correlated with `temporal_gaussian_difference-euclidean` (ρ = 0.9456971028)	Rejected
`temporal_gaussian_difference-mean` is highly correlated with `temporal_gaussian_difference-manhattan` (ρ = 0.9999139768)	Rejected
`temporal_gaussian_difference-std` is highly correlated with `temporal_gaussian_difference-max` (ρ = 0.9672691428)	Rejected
`temporal_gaussian_mse-corr` has constant value "0.0"	Rejected
`temporal_gaussian_mse-euclidean` is highly correlated with `temporal_gaussian_difference-std` (ρ = 0.9697791317)	Rejected
`temporal_gaussian_mse-manhattan` is highly correlated with `temporal_gaussian_mse-euclidean` (ρ = 0.9710338281)	Rejected
`temporal_gaussian_mse-max` is highly correlated with `temporal_gaussian_mse-manhattan` (ρ = 0.9086195337)	Rejected
`temporal_gaussian_mse-mean` is highly correlated with `temporal_gaussian_mse-max` (ρ = 0.9084856487)	Rejected
`temporal_gaussian_mse-series` has a high cardinality: 29569 distinct values	Warning
`temporal_gaussian_mse-std` is highly correlated with `temporal_gaussian_mse-mean` (ρ = 0.9550816959)	Rejected
`temporal_psnr-manhattan` is highly correlated with `temporal_psnr-euclidean` (ρ = 0.9921359631)	Rejected
`temporal_psnr-mean` is highly correlated with `temporal_psnr-corr` (ρ = 0.995760754)	Rejected
`temporal_ssim-manhattan` is highly correlated with `temporal_ssim-euclidean` (ρ = 0.9962524218)	Rejected
`temporal_ssim-mean` is highly correlated with `temporal_ssim-corr` (ρ = 0.9929380689)	Rejected
`temporal_threshold_gaussian_difference-corr` has constant value "0.0"	Rejected
`temporal_threshold_gaussian_difference-euclidean` has 10616 (26.3%) zeros	Zeros
`temporal_threshold_gaussian_difference-manhattan` is highly correlated with `temporal_threshold_gaussian_difference-euclidean` (ρ = 0.9437301362)	Rejected
`temporal_threshold_gaussian_difference-max` is highly correlated with `temporal_threshold_gaussian_difference-euclidean` (ρ = 0.9078857745)	Rejected
`temporal_threshold_gaussian_difference-mean` is highly correlated with `temporal_threshold_gaussian_difference-manhattan` (ρ = 0.9998740525)	Rejected
`temporal_threshold_gaussian_difference-series` has a high cardinality: 28753 distinct values	Warning
`temporal_threshold_gaussian_difference-std` is highly correlated with `temporal_threshold_gaussian_difference-max` (ρ = 0.9528810237)	Rejected

attack
Path

Distinct count	40364
Unique (%)	100.0%
Missing (%)	0.0%
Missing (n)	0
Common prefix	/tmp/

Toggle details

Value	Count	Frequency (%)
/tmp/144_40/vimeo/298460585.mp4	1	< 0.1%
/tmp/480_25/vimeo/67592690.mp4	1	< 0.1%
/tmp/480_32/vimeo/162670765.mp4	1	< 0.1%
/tmp/288_32/vimeo/180314565.mp4	1	< 0.1%
/tmp/1080_45/vimeo/183956348.mp4	1	< 0.1%
/tmp/720_45/vimeo/149571751.mp4	1	< 0.1%
/tmp/384_14/vimeo/220511339.mp4	1	< 0.1%
/tmp/1080_14/vimeo/183956348.mp4	1	< 0.1%
/tmp/384_25/vimeo/221178360.mp4	1	< 0.1%
/tmp/384_32/vimeo/132275473.mp4	1	< 0.1%
Other values (40354)	40354	> 99.9%

Value	Count	Frequency (%)
282613720	42	0.1%
124083564	42	0.1%
223638407	42	0.1%
137495055	42	0.1%
286764988	42	0.1%
64224323	42	0.1%
90104510	42	0.1%
171564083	42	0.1%
190671135	42	0.1%
258946256	42	0.1%
Other values (962)	39944	99.0%

Value	Count	Frequency (%)
147161290.mp4	42	0.1%
291908182.mp4	42	0.1%
195706862.mp4	42	0.1%
116231562.mp4	42	0.1%
289435274.mp4	42	0.1%
153878361.mp4	42	0.1%
264934247.mp4	42	0.1%
119359193.mp4	42	0.1%
56385466.mp4	42	0.1%
197032404.mp4	42	0.1%
Other values (962)	39944	99.0%

Value	Count	Frequency (%)
.mp4	40364	100.0%

Value	Count	Frequency (%)
/tmp/288_14/vimeo	972	2.4%
/tmp/288_40/vimeo	972	2.4%
/tmp/144_25/vimeo	972	2.4%
/tmp/288_45/vimeo	972	2.4%
/tmp/288_21/vimeo	972	2.4%
/tmp/288_25/vimeo	972	2.4%
/tmp/288_18/vimeo	972	2.4%
/tmp/144_21/vimeo	972	2.4%
/tmp/288_32/vimeo	972	2.4%
/tmp/144_32/vimeo	972	2.4%
Other values (32)	30644	75.9%

dimension
Numeric

Distinct count	73
Unique (%)	0.2%
Missing (%)	0.0%
Missing (n)	0
Infinite (%)	0.0%
Infinite (n)	0

Mean	911.7749975
Minimum	144
Maximum	2520
Zeros (%)	0.0%

Toggle details

Quantile statistics

Minimum	144
5-th percentile	256
Q1	512
Median	682
Q3	1280
95-th percentile	1920
Maximum	2520
Range	2376
Interquartile range	768

Descriptive statistics

Standard deviation	548.4049784
Coef of variation	0.6014696388
Kurtosis	-0.6587581546
Mean	911.7749975
MAD	454.6041055
Skewness	0.7139961929
Sum	36802886
Variance	300748.0203
Memory size	315.5 KiB

Histogram with fixed size bins (bins=50)

Histogram with variable size bins (bins=[ 144. 168. 232. 247. 255. ... 1740. 1797. 1913. 1960. 2520.], "bayesian blocks" binning strategy used)

Value	Count	Frequency (%)
512	6692	16.6%
256	6676	16.5%
682	6643	16.5%
1920	6633	16.4%
854	6546	16.2%
1280	6432	15.9%
384	49	0.1%
480	49	0.1%
288	35	0.1%
720	35	0.1%
Other values (63)	574	1.4%

Minimum 5 values

Value	Count	Frequency (%)
144	35	0.1%
192	14	< 0.1%
230	7	< 0.1%
234	7	< 0.1%
236	7	< 0.1%

Maximum 5 values

Value	Count	Frequency (%)
2520	7	< 0.1%
2048	7	< 0.1%
2000	7	< 0.1%
1920	6633	16.4%
1906	7	< 0.1%

fps
Numeric

Distinct count	11
Unique (%)	< 0.1%
Missing (%)	0.0%
Missing (n)	0
Infinite (%)	0.0%
Infinite (n)	0

Mean	25.67693985
Minimum	15
Maximum	60
Zeros (%)	0.0%

Toggle details

Quantile statistics

Minimum	15
5-th percentile	23
Q1	24
Median	25
Q3	25
95-th percentile	30
Maximum	60
Range	45
Interquartile range	1

Descriptive statistics

Standard deviation	3.88726786
Coef of variation	0.1513913996
Kurtosis	42.78100593
Mean	25.67693985
MAD	2.253204991
Skewness	5.256848011
Sum	1036424
Variance	15.11085141
Memory size	315.5 KiB

Histogram with fixed size bins (bins=11)

Histogram with variable size bins (bins=[15. 17.5 21.5 23.5 24.5 ... 29.5 32.5 54.5 59.5 60. ], "bayesian blocks" binning strategy used)

Value	Count	Frequency (%)
25	15488	38.4%
24	8740	21.7%
23	6580	16.3%
30	4490	11.1%
29	4394	10.9%
60	252	0.6%
15	210	0.5%
20	84	0.2%
59	42	0.1%
50	42	0.1%

Minimum 5 values

Value	Count	Frequency (%)
15	210	0.5%
20	84	0.2%
23	6580	16.3%
24	8740	21.7%
25	15488	38.4%

Maximum 5 values

Value	Count	Frequency (%)
60	252	0.6%
59	42	0.1%
50	42	0.1%
35	42	0.1%
30	4490	11.1%

kind
Constant

This variable is constant and should be ignored for analysis

Constant value	features_input_QoE

path
Path

Distinct count	40364
Unique (%)	100.0%
Missing (%)	0.0%
Missing (n)	0
Common prefix	/tmp/

Toggle details

Value	Count	Frequency (%)
/tmp/144_40/vimeo/298460585.mp4	1	< 0.1%
/tmp/480_25/vimeo/67592690.mp4	1	< 0.1%
/tmp/480_32/vimeo/162670765.mp4	1	< 0.1%
/tmp/288_32/vimeo/180314565.mp4	1	< 0.1%
/tmp/1080_45/vimeo/183956348.mp4	1	< 0.1%
/tmp/720_45/vimeo/149571751.mp4	1	< 0.1%
/tmp/384_14/vimeo/220511339.mp4	1	< 0.1%
/tmp/1080_14/vimeo/183956348.mp4	1	< 0.1%
/tmp/384_25/vimeo/221178360.mp4	1	< 0.1%
/tmp/384_32/vimeo/132275473.mp4	1	< 0.1%
Other values (40354)	40354	> 99.9%

Value	Count	Frequency (%)
282613720	42	0.1%
124083564	42	0.1%
223638407	42	0.1%
137495055	42	0.1%
286764988	42	0.1%
64224323	42	0.1%
90104510	42	0.1%
171564083	42	0.1%
190671135	42	0.1%
258946256	42	0.1%
Other values (962)	39944	99.0%

Value	Count	Frequency (%)
147161290.mp4	42	0.1%
291908182.mp4	42	0.1%
195706862.mp4	42	0.1%
116231562.mp4	42	0.1%
289435274.mp4	42	0.1%
153878361.mp4	42	0.1%
264934247.mp4	42	0.1%
119359193.mp4	42	0.1%
56385466.mp4	42	0.1%
197032404.mp4	42	0.1%
Other values (962)	39944	99.0%

Value	Count	Frequency (%)
.mp4	40364	100.0%

Value	Count	Frequency (%)
/tmp/288_14/vimeo	972	2.4%
/tmp/288_40/vimeo	972	2.4%
/tmp/144_25/vimeo	972	2.4%
/tmp/288_45/vimeo	972	2.4%
/tmp/288_21/vimeo	972	2.4%
/tmp/288_25/vimeo	972	2.4%
/tmp/288_18/vimeo	972	2.4%
/tmp/144_21/vimeo	972	2.4%
/tmp/288_32/vimeo	972	2.4%
/tmp/144_32/vimeo	972	2.4%
Other values (32)	30644	75.9%

pixels
Highly correlated

This variable is highly correlated with dimension and should be ignored for analysis

Correlation	0.941968961

size
Numeric

Distinct count	39573
Unique (%)	98.0%
Missing (%)	0.0%
Missing (n)	0
Infinite (%)	0.0%
Infinite (n)	0

Mean	1405273.007
Minimum	2943
Maximum	40235594
Zeros (%)	0.0%

Toggle details

Quantile statistics

Minimum	2943
5-th percentile	22140.9
Q1	105853.75
Median	374298.5
Q3	1375809.5
95-th percentile	6669635.2
Maximum	40235594
Range	40232651
Interquartile range	1269955.75

Descriptive statistics

Standard deviation	2674868.284
Coef of variation	1.903450981
Kurtosis	23.28305171
Mean	1405273.007
MAD	1600385.797
Skewness	4.005069278
Sum	5.672243967e+10
Variance	7.154920338e+12
Memory size	315.5 KiB

Histogram with fixed size bins (bins=50)

Histogram with variable size bins (bins=[2.94300000e+03 7.16050000e+03 1.01425000e+04 3.23145000e+04 5.73815000e+04 ... 1.34131835e+07 1.56084975e+07 1.94497250e+07 2.76870785e+07 4.02355940e+07], "bayesian blocks" binning strategy used)

Value	Count	Frequency (%)
23054	3	< 0.1%
80180	3	< 0.1%
13947	3	< 0.1%
26202	3	< 0.1%
129122	3	< 0.1%
46107	3	< 0.1%
12919	3	< 0.1%
33206	3	< 0.1%
21826	3	< 0.1%
118434	3	< 0.1%
Other values (39563)	40334	99.9%

Minimum 5 values

Value	Count	Frequency (%)
2943	1	< 0.1%
3240	1	< 0.1%
3401	1	< 0.1%
3578	1	< 0.1%
3615	1	< 0.1%

Maximum 5 values

Value	Count	Frequency (%)
40235594	1	< 0.1%
39263428	1	< 0.1%
39189779	1	< 0.1%
35293272	1	< 0.1%
33537235	1	< 0.1%

size_dimension_ratio
Numeric

Distinct count	40001
Unique (%)	99.1%
Missing (%)	0.0%
Missing (n)	0
Infinite (%)	0.0%
Infinite (n)	0

Mean	1272.321471
Minimum	4.98984375
Maximum	23615.21328
Zeros (%)	0.0%

Toggle details

Quantile statistics

Minimum	4.98984375
5-th percentile	50.59027371
Q1	158.1066214
Median	525.0027034
Q3	1606.341347
95-th percentile	5013.594805
Maximum	23615.21328
Range	23610.22344
Interquartile range	1448.234725

Descriptive statistics

Standard deviation	1855.462786
Coef of variation	1.458328597
Kurtosis	13.3239973
Mean	1272.321471
MAD	1245.426785
Skewness	3.019857428
Sum	51355983.87
Variance	3442742.149
Memory size	315.5 KiB

Histogram with fixed size bins (bins=50)

Histogram with variable size bins (bins=[4.98984375e+00 1.32408186e+01 1.86861792e+01 2.79935579e+01 4.23789062e+01 ... 7.61963014e+03 1.01088633e+04 1.26922445e+04 1.50664828e+04 2.36152133e+04], "bayesian blocks" binning strategy used)

Value	Count	Frequency (%)
63.0078125	4	< 0.1%
46.7734375	3	< 0.1%
51.17578125	3	< 0.1%
50.46484375	3	< 0.1%
42.68359375	3	< 0.1%
57.828125	3	< 0.1%
48.03515625	3	< 0.1%
62.19921875	3	< 0.1%
74.78125	3	< 0.1%
80.13671875	3	< 0.1%
Other values (39991)	40333	99.9%

Minimum 5 values

Value	Count	Frequency (%)
4.98984375	1	< 0.1%
5.526932084	1	< 0.1%
5.8046875	1	< 0.1%
6.11143695	1	< 0.1%
6.117096019	1	< 0.1%

Maximum 5 values

Value	Count	Frequency (%)
23615.21328	1	< 0.1%
20956.03854	1	< 0.1%
20677.94297	1	< 0.1%
20608.59922	1	< 0.1%
20466.92506	1	< 0.1%

temporal_dct-corr
Constant

This variable is constant and should be ignored for analysis

Constant value	0.0

temporal_dct-euclidean
Numeric

Distinct count	40364
Unique (%)	100.0%
Missing (%)	0.0%
Missing (n)	0
Infinite (%)	0.0%
Infinite (n)	0

Mean	4.119114675
Minimum	0.01453176529
Maximum	162.5195606
Zeros (%)	0.0%

Toggle details

Quantile statistics

Minimum	0.01453176529
5-th percentile	0.2436627088
Q1	1.158444975
Median	2.358801264
Q3	4.90898564
95-th percentile	11.60542717
Maximum	162.5195606
Range	162.5050288
Interquartile range	3.750540665

Descriptive statistics

Standard deviation	7.365810175
Coef of variation	1.788202261
Kurtosis	112.8856023
Mean	4.119114675
MAD	3.341758469
Skewness	9.043875137
Sum	166263.9447
Variance	54.25515953
Memory size	315.5 KiB

Histogram with fixed size bins (bins=50)

Histogram with variable size bins (bins=[1.45317653e-02 2.87573789e-02 6.57969978e-02 1.43045927e-01 3.03060137e-01 ... 8.28323335e+01 8.33556222e+01 1.18676901e+02 1.20148322e+02 1.62519561e+02], "bayesian blocks" binning strategy used)

Value	Count	Frequency (%)
2.232907385	1	< 0.1%
3.370513355	1	< 0.1%
0.2476981946	1	< 0.1%
1.627049905	1	< 0.1%
12.43050699	1	< 0.1%
8.698185675	1	< 0.1%
2.85787499	1	< 0.1%
1.759387329	1	< 0.1%
0.3484864816	1	< 0.1%
0.3322673054	1	< 0.1%
Other values (40354)	40354	> 99.9%

Minimum 5 values

Value	Count	Frequency (%)
0.01453176529	1	< 0.1%
0.01802856572	1	< 0.1%
0.01886548862	1	< 0.1%
0.02183742257	1	< 0.1%
0.02323348447	1	< 0.1%

Maximum 5 values

Value	Count	Frequency (%)
162.5195606	1	< 0.1%
133.0345214	1	< 0.1%
120.1778289	1	< 0.1%
120.1188146	1	< 0.1%
119.9999522	1	< 0.1%

temporal_dct-manhattan
Highly correlated

This variable is highly correlated with temporal_dct-euclidean and should be ignored for analysis

Correlation	0.9191731706

temporal_dct-max
Highly correlated

This variable is highly correlated with temporal_dct-euclidean and should be ignored for analysis

Correlation	0.9054714712

temporal_dct-mean
Highly correlated

This variable is highly correlated with temporal_dct-manhattan and should be ignored for analysis

Correlation	0.9999300536

temporal_dct-series
Categorical, Unique

First 5 values
[ 0.72795 1.13392 1.27722 1.54819 6.72906 2.02569 2.51932\n 6.78828 1.43575 2.06825 1.90088 6.39774 107.9052 1.46529\n 2.05629 10.95276 2.1 1.29226 31.14827 21.17417 7.4681\n 7.31998 6.96158 18.69269 0.46253 2.46558 8.49911 3.50967\n 15.28201]
[ 0.79491 0.97812 0.57982 0.8699 5.98676 1.88932 2.58885\n 8.52301 1.89385 2.69438 1.99249 11.72328 107.97732 1.28787\n 1.10134 9.15798 2.21513 0.92713 30.78649 21.23236 7.05689\n 7.19758 6.88699 19.0506 0.21272 2.43649 11.3373 3.58032\n 15.3776 ]
[ 0.80181 0.98153 0.57943 0.87062 5.9928 1.89937 2.58579\n 8.52101 1.89327 2.68935 1.99707 11.72618 107.98372 1.28772\n 1.09495 9.14652 2.21208 0.9207 30.76909 21.245 7.06857\n 7.18232 6.89847 19.06152 0.21074 2.43212 11.33771 3.59082\n 15.38839]
[ 0.82094 0.97886 0.59666 0.8496 6.00497 1.88644 2.60217\n 8.39293 1.88336 2.57607 2.02695 11.78079 107.98091 1.28746\n 1.0933 9.27899 2.19134 0.92436 30.76365 21.23858 7.05415\n 7.13597 6.84622 19.05054 0.22314 2.42547 11.26691 3.58\n 15.39358]
[ 0.82329 0.99268 0.57724 0.87217 5.99744 1.87739 2.58267\n 8.48892 1.87869 2.66553 2.00177 11.76718 107.98393 1.28277\n 1.09034 9.22896 2.21095 0.89838 30.7676 21.23859 7.08591\n 7.18276 6.88916 19.05783 0.20688 2.45774 11.35181 3.56672\n 15.38689]

Last 5 values
[9.7690e-02 2.7661e-01 4.2110e-02 5.2570e-02 8.4940e-02 2.6783e-01\n 4.2450e-02 5.7270e-02 2.7294e-01 4.9290e-02 2.6362e-01 1.5478e-01\n 2.0140e-01 1.4462e-01 1.1313e-01 6.3120e-02 1.9523e-01 1.7395e-01\n 1.4888e-01 9.7370e-02 7.0220e-02 7.4850e-02 2.6800e-03 4.7000e-04\n 5.8000e-04 5.8000e-04 5.8000e-04 1.1000e-04]
[9.78485 9.83381 9.90713 9.77858 9.88441 9.87952 9.87357 9.84901 9.71784\n 9.66853 9.63171 9.65534 9.48754 9.59297 9.46597 9.58056 9.50648 9.47835\n 9.33777 9.40407 9.41405 9.21284 9.30975 9.28817 7.3394 7.35579 7.32244\n 6.93738 6.59119]
[9.8120e-02 2.0584e-01 2.3131e-01 1.5785e-01 1.2019e-01 9.7800e-02\n 4.7050e-02 1.9000e-04 1.2510e-02 8.8790e-02 3.4164e-01 3.6328e-01\n 1.4285e-01 1.1248e-01 1.4073e-01 1.6775e-01 1.3877e-01 1.5532e-01\n 2.9782e-01 2.1600e-01 1.4806e-01 1.4394e-01 1.5299e-01 1.2766e-01\n 1.1347e-01 1.1508e-01 1.9757e-01 1.2160e-01 1.2271e-01]
[9.8990e-02 1.8534e-01 4.5599e-01 6.7506e-01 1.2974e-01 1.2730e-01\n 4.0578e-01 1.2750e-01 3.6620e-01 3.3863e-01 9.9410e-02 1.6885e-01\n 1.8898e-01 7.1070e-02 1.3791e-01 1.0119e-01 1.5436e-01 7.7960e-02\n 6.2820e-02 1.0200e-03 1.0200e-03 5.4800e-03 7.1900e-02 5.9000e-04\n 2.0000e-05 4.3010e-02 2.2660e-02 6.5362e-01 4.3465e-01]
[9.950e-03 5.661e-02 1.579e-02 1.006e-02 2.500e-03 2.190e-03 2.190e-03\n 3.270e-03 8.370e-03 9.010e-03 4.440e-03 8.320e-03 1.618e-02 9.780e-03\n 7.600e-03 8.850e-03 9.800e-03 1.259e-02 6.800e-03 6.810e-03 1.145e-02\n 6.416e-02 3.043e-02 1.870e-02 9.905e-02 2.300e-04 6.000e-05 0.000e+00\n 0.000e+00]

Toggle details

First 5 values

Value	Count	Frequency (%)
[ 0.72795 1.13392 1.27722 1.54819 6.72906 2.02569 2.51932 6.78828 1.43575 2.06825 1.90088 6.39774 107.9052 1.46529 2.05629 10.95276 2.1 1.29226 31.14827 21.17417 7.4681 7.31998 6.96158 18.69269 0.46253 2.46558 8.49911 3.50967 15.28201]	1	< 0.1%
[ 0.79491 0.97812 0.57982 0.8699 5.98676 1.88932 2.58885 8.52301 1.89385 2.69438 1.99249 11.72328 107.97732 1.28787 1.10134 9.15798 2.21513 0.92713 30.78649 21.23236 7.05689 7.19758 6.88699 19.0506 0.21272 2.43649 11.3373 3.58032 15.3776 ]	1	< 0.1%
[ 0.80181 0.98153 0.57943 0.87062 5.9928 1.89937 2.58579 8.52101 1.89327 2.68935 1.99707 11.72618 107.98372 1.28772 1.09495 9.14652 2.21208 0.9207 30.76909 21.245 7.06857 7.18232 6.89847 19.06152 0.21074 2.43212 11.33771 3.59082 15.38839]	1	< 0.1%
[ 0.82094 0.97886 0.59666 0.8496 6.00497 1.88644 2.60217 8.39293 1.88336 2.57607 2.02695 11.78079 107.98091 1.28746 1.0933 9.27899 2.19134 0.92436 30.76365 21.23858 7.05415 7.13597 6.84622 19.05054 0.22314 2.42547 11.26691 3.58 15.39358]	1	< 0.1%
[ 0.82329 0.99268 0.57724 0.87217 5.99744 1.87739 2.58267 8.48892 1.87869 2.66553 2.00177 11.76718 107.98393 1.28277 1.09034 9.22896 2.21095 0.89838 30.7676 21.23859 7.08591 7.18276 6.88916 19.05783 0.20688 2.45774 11.35181 3.56672 15.38689]	1	< 0.1%

Last 5 values

Value	Count	Frequency (%)
[9.950e-03 5.661e-02 1.579e-02 1.006e-02 2.500e-03 2.190e-03 2.190e-03 3.270e-03 8.370e-03 9.010e-03 4.440e-03 8.320e-03 1.618e-02 9.780e-03 7.600e-03 8.850e-03 9.800e-03 1.259e-02 6.800e-03 6.810e-03 1.145e-02 6.416e-02 3.043e-02 1.870e-02 9.905e-02 2.300e-04 6.000e-05 0.000e+00 0.000e+00]	1	< 0.1%
[9.8990e-02 1.8534e-01 4.5599e-01 6.7506e-01 1.2974e-01 1.2730e-01 4.0578e-01 1.2750e-01 3.6620e-01 3.3863e-01 9.9410e-02 1.6885e-01 1.8898e-01 7.1070e-02 1.3791e-01 1.0119e-01 1.5436e-01 7.7960e-02 6.2820e-02 1.0200e-03 1.0200e-03 5.4800e-03 7.1900e-02 5.9000e-04 2.0000e-05 4.3010e-02 2.2660e-02 6.5362e-01 4.3465e-01]	1	< 0.1%
[9.8120e-02 2.0584e-01 2.3131e-01 1.5785e-01 1.2019e-01 9.7800e-02 4.7050e-02 1.9000e-04 1.2510e-02 8.8790e-02 3.4164e-01 3.6328e-01 1.4285e-01 1.1248e-01 1.4073e-01 1.6775e-01 1.3877e-01 1.5532e-01 2.9782e-01 2.1600e-01 1.4806e-01 1.4394e-01 1.5299e-01 1.2766e-01 1.1347e-01 1.1508e-01 1.9757e-01 1.2160e-01 1.2271e-01]	1	< 0.1%
[9.78485 9.83381 9.90713 9.77858 9.88441 9.87952 9.87357 9.84901 9.71784 9.66853 9.63171 9.65534 9.48754 9.59297 9.46597 9.58056 9.50648 9.47835 9.33777 9.40407 9.41405 9.21284 9.30975 9.28817 7.3394 7.35579 7.32244 6.93738 6.59119]	1	< 0.1%
[9.7690e-02 2.7661e-01 4.2110e-02 5.2570e-02 8.4940e-02 2.6783e-01 4.2450e-02 5.7270e-02 2.7294e-01 4.9290e-02 2.6362e-01 1.5478e-01 2.0140e-01 1.4462e-01 1.1313e-01 6.3120e-02 1.9523e-01 1.7395e-01 1.4888e-01 9.7370e-02 7.0220e-02 7.4850e-02 2.6800e-03 4.7000e-04 5.8000e-04 5.8000e-04 5.8000e-04 1.1000e-04]	1	< 0.1%

temporal_dct-std
Highly correlated

This variable is highly correlated with temporal_dct-max and should be ignored for analysis

Correlation	0.9765588113

temporal_gaussian_difference-corr
Constant

This variable is constant and should be ignored for analysis

Constant value	0.0

temporal_gaussian_difference-euclidean
Numeric

Distinct count	40364
Unique (%)	100.0%
Missing (%)	0.0%
Missing (n)	0
Infinite (%)	0.0%
Infinite (n)	0

Mean	3546.496877
Minimum	5.731688547
Maximum	110727.5189
Zeros (%)	0.0%

Toggle details

Quantile statistics

Minimum	5.731688547
5-th percentile	241.93035
Q1	877.7733538
Median	1877.165046
Q3	4496.369976
95-th percentile	10816.49594
Maximum	110727.5189
Range	110721.7872
Interquartile range	3618.596622

Descriptive statistics

Standard deviation	5883.574713
Coef of variation	1.658982065
Kurtosis	133.850686
Mean	3546.496877
MAD	2984.008147
Skewness	9.169215776
Sum	143150799.9
Variance	34616451.41
Memory size	315.5 KiB

Histogram with fixed size bins (bins=50)

Histogram with variable size bins (bins=[5.73168855e+00 4.32256970e+01 8.69061224e+01 1.54377046e+02 5.66233823e+02 ... 6.50675829e+04 6.55459462e+04 1.10279135e+05 1.10425288e+05 1.10727519e+05], "bayesian blocks" binning strategy used)

Value	Count	Frequency (%)
7987.110107	1	< 0.1%
14676.28157	1	< 0.1%
1695.239449	1	< 0.1%
5519.060521	1	< 0.1%
3668.124329	1	< 0.1%
2318.706707	1	< 0.1%
582.5578434	1	< 0.1%
703.4754526	1	< 0.1%
1103.670672	1	< 0.1%
5036.732707	1	< 0.1%
Other values (40354)	40354	> 99.9%

Minimum 5 values

Value	Count	Frequency (%)
5.731688547	1	< 0.1%
9.554152843	1	< 0.1%
10.46715048	1	< 0.1%
10.60127001	1	< 0.1%
11.20381471	1	< 0.1%

Maximum 5 values

Value	Count	Frequency (%)
110727.5189	1	< 0.1%
110662.0761	1	< 0.1%
110661.2301	1	< 0.1%
110633.8844	1	< 0.1%
110621.1914	1	< 0.1%

temporal_gaussian_difference-manhattan
Highly correlated

This variable is highly correlated with temporal_gaussian_difference-euclidean and should be ignored for analysis

Correlation	0.9456971028

temporal_gaussian_difference-max
Numeric

Distinct count	40328
Unique (%)	99.9%
Missing (%)	0.0%
Missing (n)	0
Infinite (%)	0.0%
Infinite (n)	0

Mean	1100.887281
Minimum	1.671194434
Maximum	67557.38281
Zeros (%)	0.0%

Toggle details

Quantile statistics

Minimum	1.671194434
5-th percentile	71.89240875
Q1	229.1272125
Median	498.0350647
Q3	1152.323883
95-th percentile	2935.762683
Maximum	67557.38281
Range	67555.71162
Interquartile range	923.1966705

Descriptive statistics

Standard deviation	3432.191576
Coef of variation	3.117659396
Kurtosis	233.3840585
Mean	1100.887281
MAD	1018.521486
Skewness	14.05073745
Sum	44436214.21
Variance	11779939.01
Memory size	315.5 KiB

Histogram with fixed size bins (bins=50)

Histogram with variable size bins (bins=[1.67119443e+00 6.54254699e+00 1.84739819e+01 3.30825062e+01 5.03322659e+01 ... 5.82697617e+04 6.64448281e+04 6.71362031e+04 6.71883633e+04 6.75573828e+04], "bayesian blocks" binning strategy used)

Value	Count	Frequency (%)
1006.94104	9	< 0.1%
1021.380249	3	< 0.1%
351.2277222	2	< 0.1%
328.5512085	2	< 0.1%
1016.470581	2	< 0.1%
411.5232544	2	< 0.1%
316.9831238	2	< 0.1%
736.0081787	2	< 0.1%
1083.163452	2	< 0.1%
151.0310364	2	< 0.1%
Other values (40318)	40336	99.9%

Minimum 5 values

Value	Count	Frequency (%)
1.671194434	1	< 0.1%
2.773333549	1	< 0.1%
3.318585396	1	< 0.1%
3.581718922	1	< 0.1%
3.664934874	1	< 0.1%

Maximum 5 values

Value	Count	Frequency (%)
67557.38281	1	< 0.1%
67458.92188	1	< 0.1%
67456.34375	1	< 0.1%
67453.10938	1	< 0.1%
67431.33594	1	< 0.1%

temporal_gaussian_difference-mean
Highly correlated

This variable is highly correlated with temporal_gaussian_difference-manhattan and should be ignored for analysis

Correlation	0.9999139768

temporal_gaussian_difference-series
Categorical, Unique

First 5 values
[ 0. 0. 0. 0. 0. 0.\n 12.21809 42.23529 46.68166 87.81988 350.11636 374.18283\n 468.96832 485.14603 491.02618 450.64658 865.77838 833.12439\n 958.35376 747.98682 670.72327 913.22552 901.99579 518.56799\n 1029.23828 391.69254 471.39984 547.48193 581.33527]
[ 0. 0. 0. 0. 0. 0.\n 15.8902 56.95294 69.82285 134.87633 565.53522 590.14648\n 649.24817 628.59534 717.31073 756.01465 1019.91962 748.10492\n 1119.37976 770.61279 1143.24719 1162.20837 560.27643 1120.27612\n 938.69623 402.51758 510.29141 594.74719 625.85992]
[ 0. 0. 0. 0. 0. 0.\n 18.01961 60.19216 79.00511 150.13756 551.93622 589.76434\n 826.27264 800.49011 958.99512 853.20557 1437.10828 1519.38232\n 1573.53711 1355.27112 1228.33911 1641.43909 1676.42151 950.70422\n 1887.19299 594.51636 670.08118 751.74249 790.46649]
[ 0. 598.3291 662.62115 684.39819 928.10437 1027.37024\n 977.21832 859.54761 845.45941 940.02142 1119.026 1115.23352\n 1104.63806 501.55624 440.03812 436.17905 378.33902 494.61276\n 468.98801 481.74255 492.65042 481.1998 955.1355 1461.58887\n 1298.198 1318.85107 1350.93164 1304.79321 1337.52051]
[ 0. 628.96332 746.34021 819.96466 1096.72302 1337.60779\n 908.94348 1018.12061 900.23187 1019.00055 1250.47498 1204.33105\n 1196.40186 494.43921 526.57556 563.22003 343.65253 464.07996\n 455.7926 452.83218 483.11133 515.82928 960.46472 1122.91919\n 1059.36353 885.47369 910.90692 1070.07031 826.91455]

Last 5 values
[992.323 916.73669 797.49005 870.63989 821.38025 774.86688 552.45734\n 420.14285 503.31851 522.78821 531.46234 619.67188 504.52505 645.68512\n 640.98541 704.92023 683.05103 921.9187 760.62244 808.85028 963.14734\n 831.88995 870.48193 436.09534 491.57156 480.30701 538.0293 430.1778\n 475.28543]
[992.39691 334.55487 376.60452 434.15289 557.15509 708.09192 446.59979\n 615.86151 411.18826 584.1369 803.24884 744.66815 766.35162 727.74609\n 837.83734 705.37628 750.08447 733.92242 508.49069 763.45544 468.19998\n 980.7511 800.13745 711.15497 539.36963 840.70105 672.71783 282.40488\n 801.14587]
[994.34436 723.6217 859.17023 850.28247 854.25348 863.54022 855.17572\n 859.04852 855.54437 854.9649 825.15387 799.16321 809.65747 819.29163\n 800.51044 819.26282 794.79584 789.44727 757.94354 764.86694 732.96722\n 688.6239 760.05261 723.55536 748.84338 728.09064 729.47504 709.85883\n 709.60431]
[995.74457 970.38306 911.27289 401.51187 413.78278 417.0889 415.54974\n 415.03311 405.23026 394.55115 390.35156 401.88806 408.93338 413.24344\n 403.54056 401.86029 409.81641 402.20453 407.87173 420.26373 406.60181\n 428.48398 416.57159 397.12186 419.95773 409.013 399.68097 403.88327]
[997.46991 862.89984 853.41913 776.73364 773.25226 765.64783 761.82306\n 811.20862 793.73083 785.80383 758.98035 779.52771 762.03961 771.53552\n 773.62659 784.87939 742.23035 759.56854 718.59576 717.29083 738.11261\n 719.10919 725.60455 563.95135 607.56464 597.95197 588.40326 597.98376\n 622.95831]

Toggle details

First 5 values

Value	Count	Frequency (%)
[ 0. 0. 0. 0. 0. 0. 12.21809 42.23529 46.68166 87.81988 350.11636 374.18283 468.96832 485.14603 491.02618 450.64658 865.77838 833.12439 958.35376 747.98682 670.72327 913.22552 901.99579 518.56799 1029.23828 391.69254 471.39984 547.48193 581.33527]	1	< 0.1%
[ 0. 0. 0. 0. 0. 0. 15.8902 56.95294 69.82285 134.87633 565.53522 590.14648 649.24817 628.59534 717.31073 756.01465 1019.91962 748.10492 1119.37976 770.61279 1143.24719 1162.20837 560.27643 1120.27612 938.69623 402.51758 510.29141 594.74719 625.85992]	1	< 0.1%
[ 0. 0. 0. 0. 0. 0. 18.01961 60.19216 79.00511 150.13756 551.93622 589.76434 826.27264 800.49011 958.99512 853.20557 1437.10828 1519.38232 1573.53711 1355.27112 1228.33911 1641.43909 1676.42151 950.70422 1887.19299 594.51636 670.08118 751.74249 790.46649]	1	< 0.1%
[ 0. 598.3291 662.62115 684.39819 928.10437 1027.37024 977.21832 859.54761 845.45941 940.02142 1119.026 1115.23352 1104.63806 501.55624 440.03812 436.17905 378.33902 494.61276 468.98801 481.74255 492.65042 481.1998 955.1355 1461.58887 1298.198 1318.85107 1350.93164 1304.79321 1337.52051]	1	< 0.1%
[ 0. 628.96332 746.34021 819.96466 1096.72302 1337.60779 908.94348 1018.12061 900.23187 1019.00055 1250.47498 1204.33105 1196.40186 494.43921 526.57556 563.22003 343.65253 464.07996 455.7926 452.83218 483.11133 515.82928 960.46472 1122.91919 1059.36353 885.47369 910.90692 1070.07031 826.91455]	1	< 0.1%

Last 5 values

Value	Count	Frequency (%)
[997.46991 862.89984 853.41913 776.73364 773.25226 765.64783 761.82306 811.20862 793.73083 785.80383 758.98035 779.52771 762.03961 771.53552 773.62659 784.87939 742.23035 759.56854 718.59576 717.29083 738.11261 719.10919 725.60455 563.95135 607.56464 597.95197 588.40326 597.98376 622.95831]	1	< 0.1%
[995.74457 970.38306 911.27289 401.51187 413.78278 417.0889 415.54974 415.03311 405.23026 394.55115 390.35156 401.88806 408.93338 413.24344 403.54056 401.86029 409.81641 402.20453 407.87173 420.26373 406.60181 428.48398 416.57159 397.12186 419.95773 409.013 399.68097 403.88327]	1	< 0.1%
[994.34436 723.6217 859.17023 850.28247 854.25348 863.54022 855.17572 859.04852 855.54437 854.9649 825.15387 799.16321 809.65747 819.29163 800.51044 819.26282 794.79584 789.44727 757.94354 764.86694 732.96722 688.6239 760.05261 723.55536 748.84338 728.09064 729.47504 709.85883 709.60431]	1	< 0.1%
[992.39691 334.55487 376.60452 434.15289 557.15509 708.09192 446.59979 615.86151 411.18826 584.1369 803.24884 744.66815 766.35162 727.74609 837.83734 705.37628 750.08447 733.92242 508.49069 763.45544 468.19998 980.7511 800.13745 711.15497 539.36963 840.70105 672.71783 282.40488 801.14587]	1	< 0.1%
[992.323 916.73669 797.49005 870.63989 821.38025 774.86688 552.45734 420.14285 503.31851 522.78821 531.46234 619.67188 504.52505 645.68512 640.98541 704.92023 683.05103 921.9187 760.62244 808.85028 963.14734 831.88995 870.48193 436.09534 491.57156 480.30701 538.0293 430.1778 475.28543]	1	< 0.1%

temporal_gaussian_difference-std
Highly correlated

This variable is highly correlated with temporal_gaussian_difference-max and should be ignored for analysis

Correlation	0.9672691428

temporal_gaussian_mse-corr
Constant

This variable is constant and should be ignored for analysis

Constant value	0.0

temporal_gaussian_mse-euclidean
Highly correlated

This variable is highly correlated with temporal_gaussian_difference-std and should be ignored for analysis

Correlation	0.9697791317

temporal_gaussian_mse-manhattan
Highly correlated

This variable is highly correlated with temporal_gaussian_mse-euclidean and should be ignored for analysis

Correlation	0.9710338281

temporal_gaussian_mse-max
Highly correlated

This variable is highly correlated with temporal_gaussian_mse-manhattan and should be ignored for analysis

Correlation	0.9086195337

temporal_gaussian_mse-mean
Highly correlated

This variable is highly correlated with temporal_gaussian_mse-max and should be ignored for analysis

Correlation	0.9084856487

temporal_gaussian_mse-series
Categorical

Distinct count	29569
Unique (%)	73.3%
Missing (%)	0.0%
Missing (n)	0

[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]	6502
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]	1028
[1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05]	551
Other values (29566)	32283

Toggle details

Common values
Composition

Value	Count	Frequency (%)
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]	6502	16.1%
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]	1028	2.5%
[1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05]	551	1.4%
[1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05]	99	0.2%
[2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05]	61	0.2%
[0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-05]	47	0.1%
[0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-05 1.e-05]	39	0.1%
[1.e-05 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00]	34	0.1%
[0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-05 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00]	28	0.1%
[0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-05 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00]	28	0.1%
Other values (29559)	31947	79.1%

Max length	324
Mean length	193.341542
Min length	86
Contains chars	True
Contains digits	True
Contains spaces	True
Contains non-words	True

temporal_gaussian_mse-std
Highly correlated

This variable is highly correlated with temporal_gaussian_mse-mean and should be ignored for analysis

Correlation	0.9550816959

temporal_psnr-corr
Numeric

Distinct count	40364
Unique (%)	100.0%
Missing (%)	0.0%
Missing (n)	0
Infinite (%)	0.0%
Infinite (n)	0

Mean	83584.59653
Minimum	59871.17706
Maximum	177964.3438
Zeros (%)	0.0%

Toggle details

Quantile statistics

Minimum	59871.17706
5-th percentile	67716.08698
Q1	74695.43533
Median	81698.23531
Q3	90086.60181
95-th percentile	106331.0811
Maximum	177964.3438
Range	118093.1667
Interquartile range	15391.16648

Descriptive statistics

Standard deviation	12250.46739
Coef of variation	0.146563696
Kurtosis	3.876533986
Mean	83584.59653
MAD	9395.993167
Skewness	1.291145311
Sum	3373808654
Variance	150073951.3
Memory size	315.5 KiB

Histogram with fixed size bins (bins=50)

Histogram with variable size bins (bins=[ 59871.17706264 61911.51202677 63074.26725709 64315.20605183 65215.46870807 ... 116205.2682972 121125.84346377 125187.81075822 133284.78717648 177964.34379717], "bayesian blocks" binning strategy used)

Value	Count	Frequency (%)
88453.25555	1	< 0.1%
69674.47424	1	< 0.1%
89492.44773	1	< 0.1%
83888.30161	1	< 0.1%
66020.95679	1	< 0.1%
81710.82356	1	< 0.1%
75770.53055	1	< 0.1%
67744.11729	1	< 0.1%
82793.52092	1	< 0.1%
90803.27968	1	< 0.1%
Other values (40354)	40354	> 99.9%

Minimum 5 values

Value	Count	Frequency (%)
59871.17706	1	< 0.1%
60469.617	1	< 0.1%
60608.29037	1	< 0.1%
60640.61551	1	< 0.1%
60919.52497	1	< 0.1%

Maximum 5 values

Value	Count	Frequency (%)
177964.3438	1	< 0.1%
176762.9713	1	< 0.1%
175810.8464	1	< 0.1%
175749.8221	1	< 0.1%
174711.0107	1	< 0.1%

temporal_psnr-euclidean
Numeric

Distinct count	40364
Unique (%)	100.0%
Missing (%)	0.0%
Missing (n)	0
Infinite (%)	0.0%
Infinite (n)	0

Mean	330.4282733
Minimum	152.1829825
Maximum	387.6966594
Zeros (%)	0.0%

Toggle details

Quantile statistics

Minimum	152.1829825
5-th percentile	274.4974664
Q1	314.178626
Median	334.8394454
Q3	352.0641969
95-th percentile	369.3493012
Maximum	387.6966594
Range	235.5136769
Interquartile range	37.88557092

Descriptive statistics

Standard deviation	29.28697724
Coef of variation	0.08863338766
Kurtosis	1.38683736
Mean	330.4282733
MAD	22.89581597
Skewness	-0.9721039473
Sum	13337406.82
Variance	857.7270357
Memory size	315.5 KiB

Histogram with fixed size bins (bins=50)

Histogram with variable size bins (bins=[152.18298249 182.14474839 207.77005284 228.42943757 239.77387054 ... 375.02976681 377.21758753 379.91574075 384.51854044 387.69665941], "bayesian blocks" binning strategy used)

Value	Count	Frequency (%)
313.1308094	1	< 0.1%
357.0440637	1	< 0.1%
321.1471664	1	< 0.1%
373.4374766	1	< 0.1%
346.7593425	1	< 0.1%
192.9891809	1	< 0.1%
309.5822519	1	< 0.1%
323.3792173	1	< 0.1%
356.5277778	1	< 0.1%
357.3009331	1	< 0.1%
Other values (40354)	40354	> 99.9%

Minimum 5 values

Value	Count	Frequency (%)
152.1829825	1	< 0.1%
157.9248027	1	< 0.1%
159.7663065	1	< 0.1%
162.4957375	1	< 0.1%
167.2761364	1	< 0.1%

Maximum 5 values

Value	Count	Frequency (%)
387.6966594	1	< 0.1%
387.2282385	1	< 0.1%
386.440142	1	< 0.1%
385.6279588	1	< 0.1%
385.483522	1	< 0.1%

temporal_psnr-manhattan
Highly correlated

This variable is highly correlated with temporal_psnr-euclidean and should be ignored for analysis

Correlation	0.9921359631

temporal_psnr-max
Numeric

Distinct count	39248
Unique (%)	97.2%
Missing (%)	0.0%
Missing (n)	0
Infinite (%)	0.0%
Infinite (n)	0

Mean	42.91037384
Minimum	28.44329412
Maximum	100
Zeros (%)	0.0%

Toggle details

Quantile statistics

Minimum	28.44329412
5-th percentile	32.6475996
Q1	36.83668299
Median	41.02032172
Q3	45.94731594
95-th percentile	57.87404775
Maximum	100
Range	71.55670588
Interquartile range	9.110632947

Descriptive statistics

Standard deviation	10.16841755
Coef of variation	0.2369687477
Kurtosis	12.62332187
Mean	42.91037384
MAD	6.531381908
Skewness	2.940768367
Sum	1732034.33
Variance	103.3967155
Memory size	315.5 KiB

Histogram with fixed size bins (bins=50)

Histogram with variable size bins (bins=[ 28.44329412 29.12490839 30.0509005 31.0444493 32.07594291 ... 88.65398397 91.14060717 97.75170365 99.62842681 100. ], "bayesian blocks" binning strategy used)

Value	Count	Frequency (%)
100	485	1.2%
99.25685362	28	0.1%
88.46504116	24	0.1%
42.1102037	22	0.1%
85.45474121	21	0.1%
79.30050168	19	< 0.1%
90.80587322	18	< 0.1%
80.62362502	17	< 0.1%
64.52928913	10	< 0.1%
94.48564108	9	< 0.1%
Other values (39238)	39711	98.4%

Minimum 5 values

Value	Count	Frequency (%)
28.44329412	1	< 0.1%
28.49698053	1	< 0.1%
28.75350624	1	< 0.1%
28.75986663	1	< 0.1%
28.84566053	1	< 0.1%

Maximum 5 values

Value	Count	Frequency (%)
100	485	1.2%
99.25685362	28	0.1%
96.24655367	7	< 0.1%
94.48564108	9	< 0.1%
93.23625371	4	< 0.1%

temporal_psnr-mean
Highly correlated

This variable is highly correlated with temporal_psnr-corr and should be ignored for analysis

Correlation	0.995760754

temporal_psnr-series
Categorical, Unique

First 5 values
[ 30.21907 30.2913 30.2604 100. 100. 30.72526 30.46702\n 30.1276 30.325 30.42513 30.37465 30.56314 30.42856 30.3858\n 30.35702 30.33249 30.34044 30.30547 30.74703 31.26045 31.12264\n 31.11406 30.97497 30.93856 33.03025 33.62659 32.61995 32.57194\n 32.57551]
[ 30.35626 30.39277 30.40829 30.3508 30.37771 32.04481 30.94625\n 30.90098 30.01659 31.84323 30.37686 30.14727 100. 35.59774\n 35.34651 35.01674 35.17855 35.48907 35.46449 35.55385 35.47344\n 35.43882 35.51077 35.5121 35.48618 35.46724 35.40713 35.42599\n 35.39419]
[ 30.76513 30.90451 30.87771 100. 100. 31.10875 30.82025\n 30.62232 30.81909 30.93148 30.84125 31.1364 30.93382 30.98936\n 31.01662 30.89425 30.87587 30.84144 31.07538 31.76532 31.57369\n 31.54068 31.37332 31.32829 33.74638 33.69373 33.03267 32.94015\n 32.92019]
[ 30.76636 30.49651 30.61227 30.48718 30.6051 32.11628 31.15546\n 31.084 30.20685 32.10728 30.75132 30.52768 100. 37.37847\n 37.28008 37.27135 37.26606 37.17231 37.06628 37.08986 37.03902\n 37.03149 37.05911 36.95887 36.93294 36.93811 36.88391 36.97549\n 36.80208]
[ 30.81692 100. 31.60793 100. 30.43998 35.93097 41.97718\n 42.40148 42.40148 42.40148 42.40148 42.40148 42.40148 42.40148\n 42.40148 42.40148 42.40148 42.40148 100. 30.11069 30.31195\n 30.09743 29.79753 29.57653 42.1171 42.1171 42.1171 30.91505]

Last 5 values
[89.25685 33.47977 33.25963 33.21923 33.38079 33.60718 35.44445 35.44487\n 36.71838 36.61812 39.65959 39.96876 39.8859 40.04803 41.95403 41.99957\n 42.86496 44.49273 45.18544 45.37646 46.3715 47.10103 47.4478 46.27796\n 47.26185 46.4307 47.88984 47.83014 44.4197 ]
[89.25685 42.23099 39.11325 40.61758 39.60064 41.1825 44.07206 44.24006\n 43.63014 45.10366 46.9647 47.00392 45.76933 47.20116 48.03706 48.7038\n 49.35764 50.77195 52.17477 53.17448 52.03743 52.80263 53.65647 53.47688\n 53.14674 52.61448 52.70691 53.22595 51.8307 ]
[90.22595 31.58485 31.56733 31.56745 31.62857 31.83053 33.03056 33.00388\n 34.17946 34.57273 37.3849 37.58111 37.60328 38.07054 39.55132 39.71072\n 40.60528 41.96484 43.05922 43.05393 43.98498 44.33104 44.40666 44.56646\n 44.59831 44.19699 45.16886 44.69333 42.40378]
[91.47534 31.70106 31.71711 31.67843 31.76697 31.94891 33.21341 33.18477\n 34.38822 34.74139 37.60449 37.76878 37.90149 38.33786 39.77714 39.97718\n 40.83723 42.25916 43.1272 43.37288 44.25814 44.33202 44.65786 44.80045\n 44.75536 44.55743 45.42107 44.84165 42.56964]
[93.23625 33.63569 33.55287 33.50474 33.69925 33.92122 35.70338 35.69502\n 36.98262 36.96615 39.90306 40.23767 40.22314 40.43597 42.18657 42.34599\n 43.31302 44.76998 45.45306 45.61166 46.45351 47.26032 47.45927 46.88182\n 47.45023 47.24723 48.08368 47.80872 44.46953]

Toggle details

First 5 values

Value	Count	Frequency (%)
[ 30.21907 30.2913 30.2604 100. 100. 30.72526 30.46702 30.1276 30.325 30.42513 30.37465 30.56314 30.42856 30.3858 30.35702 30.33249 30.34044 30.30547 30.74703 31.26045 31.12264 31.11406 30.97497 30.93856 33.03025 33.62659 32.61995 32.57194 32.57551]	1	< 0.1%
[ 30.35626 30.39277 30.40829 30.3508 30.37771 32.04481 30.94625 30.90098 30.01659 31.84323 30.37686 30.14727 100. 35.59774 35.34651 35.01674 35.17855 35.48907 35.46449 35.55385 35.47344 35.43882 35.51077 35.5121 35.48618 35.46724 35.40713 35.42599 35.39419]	1	< 0.1%
[ 30.76513 30.90451 30.87771 100. 100. 31.10875 30.82025 30.62232 30.81909 30.93148 30.84125 31.1364 30.93382 30.98936 31.01662 30.89425 30.87587 30.84144 31.07538 31.76532 31.57369 31.54068 31.37332 31.32829 33.74638 33.69373 33.03267 32.94015 32.92019]	1	< 0.1%
[ 30.76636 30.49651 30.61227 30.48718 30.6051 32.11628 31.15546 31.084 30.20685 32.10728 30.75132 30.52768 100. 37.37847 37.28008 37.27135 37.26606 37.17231 37.06628 37.08986 37.03902 37.03149 37.05911 36.95887 36.93294 36.93811 36.88391 36.97549 36.80208]	1	< 0.1%
[ 30.81692 100. 31.60793 100. 30.43998 35.93097 41.97718 42.40148 42.40148 42.40148 42.40148 42.40148 42.40148 42.40148 42.40148 42.40148 42.40148 42.40148 100. 30.11069 30.31195 30.09743 29.79753 29.57653 42.1171 42.1171 42.1171 30.91505]	1	< 0.1%

Last 5 values

Value	Count	Frequency (%)
[93.23625 33.63569 33.55287 33.50474 33.69925 33.92122 35.70338 35.69502 36.98262 36.96615 39.90306 40.23767 40.22314 40.43597 42.18657 42.34599 43.31302 44.76998 45.45306 45.61166 46.45351 47.26032 47.45927 46.88182 47.45023 47.24723 48.08368 47.80872 44.46953]	1	< 0.1%
[91.47534 31.70106 31.71711 31.67843 31.76697 31.94891 33.21341 33.18477 34.38822 34.74139 37.60449 37.76878 37.90149 38.33786 39.77714 39.97718 40.83723 42.25916 43.1272 43.37288 44.25814 44.33202 44.65786 44.80045 44.75536 44.55743 45.42107 44.84165 42.56964]	1	< 0.1%
[90.22595 31.58485 31.56733 31.56745 31.62857 31.83053 33.03056 33.00388 34.17946 34.57273 37.3849 37.58111 37.60328 38.07054 39.55132 39.71072 40.60528 41.96484 43.05922 43.05393 43.98498 44.33104 44.40666 44.56646 44.59831 44.19699 45.16886 44.69333 42.40378]	1	< 0.1%
[89.25685 42.23099 39.11325 40.61758 39.60064 41.1825 44.07206 44.24006 43.63014 45.10366 46.9647 47.00392 45.76933 47.20116 48.03706 48.7038 49.35764 50.77195 52.17477 53.17448 52.03743 52.80263 53.65647 53.47688 53.14674 52.61448 52.70691 53.22595 51.8307 ]	1	< 0.1%
[89.25685 33.47977 33.25963 33.21923 33.38079 33.60718 35.44445 35.44487 36.71838 36.61812 39.65959 39.96876 39.8859 40.04803 41.95403 41.99957 42.86496 44.49273 45.18544 45.37646 46.3715 47.10103 47.4478 46.27796 47.26185 46.4307 47.88984 47.83014 44.4197 ]	1	< 0.1%

temporal_psnr-std
Numeric

Distinct count	40364
Unique (%)	100.0%
Missing (%)	0.0%
Missing (n)	0
Infinite (%)	0.0%
Infinite (n)	0

Mean	1.850089953
Minimum	0.005497487238
Maximum	33.51990936
Zeros (%)	0.0%

Toggle details

Quantile statistics

Minimum	0.005497487238
5-th percentile	0.2338915481
Q1	0.7121241445
Median	1.290482388
Q3	2.148515566
95-th percentile	4.593437394
Maximum	33.51990936
Range	33.51441187
Interquartile range	1.436391422

Descriptive statistics

Standard deviation	2.460928404
Coef of variation	1.330166893
Kurtosis	46.80277819
Mean	1.850089953
MAD	1.249117367
Skewness	5.810814055
Sum	74677.03085
Variance	6.056168611
Memory size	315.5 KiB

Histogram with fixed size bins (bins=50)

Histogram with variable size bins (bins=[5.49748724e-03 2.90181254e-02 1.66529345e-01 3.00239204e-01 4.37164394e-01 ... 8.37213775e+00 1.19983135e+01 1.63446540e+01 2.66875854e+01 3.35199094e+01], "bayesian blocks" binning strategy used)

Value	Count	Frequency (%)
1.932405595	1	< 0.1%
0.9352926965	1	< 0.1%
1.289312771	1	< 0.1%
0.1205473572	1	< 0.1%
0.9092450161	1	< 0.1%
1.675160219	1	< 0.1%
6.013329808	1	< 0.1%
3.931932794	1	< 0.1%
0.5514473074	1	< 0.1%
0.1424364033	1	< 0.1%
Other values (40354)	40354	> 99.9%

Minimum 5 values

Value	Count	Frequency (%)
0.005497487238	1	< 0.1%
0.006637503531	1	< 0.1%
0.006793954578	1	< 0.1%
0.00745057876	1	< 0.1%
0.008797059172	1	< 0.1%

Maximum 5 values

Value	Count	Frequency (%)
33.51990936	1	< 0.1%
32.55987375	1	< 0.1%
32.52970245	1	< 0.1%
32.5294917	1	< 0.1%
32.33884221	1	< 0.1%

temporal_ssim-corr
Numeric

Distinct count	40364
Unique (%)	100.0%
Missing (%)	0.0%
Missing (n)	0
Infinite (%)	0.0%
Infinite (n)	0

Mean	19.75922985
Minimum	3.341785119
Maximum	21.75825247
Zeros (%)	0.0%

Toggle details

Quantile statistics

Minimum	3.341785119
5-th percentile	15.51670464
Q1	18.95856171
Median	20.47113586
Q3	21.21332199
95-th percentile	21.65991094
Maximum	21.75825247
Range	18.41646735
Interquartile range	2.254760284

Descriptive statistics

Standard deviation	2.037009854
Coef of variation	0.1030915612
Kurtosis	3.812865825
Mean	19.75922985
MAD	1.532395914
Skewness	-1.779323607
Sum	797561.5536
Variance	4.149409144
Memory size	315.5 KiB

Histogram with fixed size bins (bins=50)

Histogram with variable size bins (bins=[ 3.34178512 7.74667861 9.97427798 11.57361919 12.90734456 ... 20.83340739 21.16111703 21.64607256 21.70246045 21.75825247], "bayesian blocks" binning strategy used)

Value	Count	Frequency (%)
21.57347757	1	< 0.1%
20.21114945	1	< 0.1%
20.58661379	1	< 0.1%
21.72016101	1	< 0.1%
17.5405608	1	< 0.1%
18.60976432	1	< 0.1%
21.29235139	1	< 0.1%
18.14697723	1	< 0.1%
20.32785514	1	< 0.1%
21.54182602	1	< 0.1%
Other values (40354)	40354	> 99.9%

Minimum 5 values

Value	Count	Frequency (%)
3.341785119	1	< 0.1%
5.395195211	1	< 0.1%
5.655216877	1	< 0.1%
5.982788666	1	< 0.1%
6.264312389	1	< 0.1%

Maximum 5 values

Value	Count	Frequency (%)
21.75825247	1	< 0.1%
21.75817195	1	< 0.1%
21.75785721	1	< 0.1%
21.7578498	1	< 0.1%
21.75782295	1	< 0.1%

temporal_ssim-euclidean
Numeric

Distinct count	40364
Unique (%)	100.0%
Missing (%)	0.0%
Missing (n)	0
Infinite (%)	0.0%
Infinite (n)	0

Mean	0.4960193477
Minimum	9.402973124e-05
Maximum	4.579613501
Zeros (%)	0.0%

Toggle details

Quantile statistics

Minimum	9.402973124e-05
5-th percentile	0.02390970407
Q1	0.1236452793
Median	0.3044959729
Q3	0.7046884418
95-th percentile	1.593493431
Maximum	4.579613501
Range	4.579519471
Interquartile range	0.5810431624

Descriptive statistics

Standard deviation	0.5204500374
Coef of variation	1.049253502
Kurtosis	3.554270466
Mean	0.4960193477
MAD	0.3939207419
Skewness	1.756145235
Sum	20021.32495
Variance	0.2708682415
Memory size	315.5 KiB

Histogram with fixed size bins (bins=50)

Histogram with variable size bins (bins=[9.40297312e-05 1.29927346e-02 2.73369241e-02 1.41990129e-01 1.76280456e-01 ... 2.37862512e+00 2.63707184e+00 2.88406186e+00 3.28797182e+00 4.57961350e+00], "bayesian blocks" binning strategy used)

Value	Count	Frequency (%)
0.5205927745	1	< 0.1%
0.09515618504	1	< 0.1%
0.04560133475	1	< 0.1%
1.216704061	1	< 0.1%
0.6446316372	1	< 0.1%
2.109214996	1	< 0.1%
0.3668790122	1	< 0.1%
0.3104144655	1	< 0.1%
0.272094835	1	< 0.1%
0.09384861008	1	< 0.1%
Other values (40354)	40354	> 99.9%

Minimum 5 values

Value	Count	Frequency (%)
9.402973124e-05	1	< 0.1%
0.0001190701951	1	< 0.1%
0.0002195344053	1	< 0.1%
0.0002200451071	1	< 0.1%
0.0002204244765	1	< 0.1%

Maximum 5 values

Value	Count	Frequency (%)
4.579613501	1	< 0.1%
4.054478805	1	< 0.1%
3.999558759	1	< 0.1%
3.987088385	1	< 0.1%
3.837072102	1	< 0.1%

temporal_ssim-manhattan
Highly correlated

This variable is highly correlated with temporal_ssim-euclidean and should be ignored for analysis

Correlation	0.9962524218

temporal_ssim-max
Numeric

Distinct count	39725
Unique (%)	98.4%
Missing (%)	0.0%
Missing (n)	0
Infinite (%)	0.0%
Infinite (n)	0

Mean	0.9488136715
Minimum	0.2625531794
Maximum	1
Zeros (%)	0.0%

Toggle details

Quantile statistics

Minimum	0.2625531794
5-th percentile	0.8135175732
Q1	0.9325248972
Median	0.9742203022
Q3	0.9912765449
95-th percentile	0.9995721317
Maximum	1
Range	0.7374468206
Interquartile range	0.05875164766

Descriptive statistics

Standard deviation	0.06680002912
Coef of variation	0.07040373798
Kurtosis	8.570495973
Mean	0.9488136715
MAD	0.0465949913
Skewness	-2.524465008
Sum	38297.91504
Variance	0.004462243891
Memory size	315.5 KiB

Histogram with fixed size bins (bins=50)

Histogram with variable size bins (bins=[0.26255318 0.48715971 0.54281734 0.61870957 0.66472413 ... 0.99999919 0.99999984 0.99999991 0.99999999 1. ], "bayesian blocks" binning strategy used)

Value	Count	Frequency (%)
1	485	1.2%
0.9999998444	24	0.1%
0.9999991888	21	0.1%
0.999997857	19	< 0.1%
0.9999724463	17	< 0.1%
0.999998756	17	< 0.1%
0.9999833875	16	< 0.1%
0.999279451	10	< 0.1%
0.9995651337	7	< 0.1%
0.9999678471	7	< 0.1%
Other values (39715)	39741	98.5%

Minimum 5 values

Value	Count	Frequency (%)
0.2625531794	1	< 0.1%
0.3049166256	1	< 0.1%
0.3544134497	1	< 0.1%
0.3730081544	1	< 0.1%
0.3890685058	1	< 0.1%

Maximum 5 values

Value	Count	Frequency (%)
1	485	1.2%
0.9999999777	1	< 0.1%
0.9999999774	1	< 0.1%
0.9999998444	24	0.1%
0.9999998384	2	< 0.1%

temporal_ssim-mean
Highly correlated

This variable is highly correlated with temporal_ssim-corr and should be ignored for analysis

Correlation	0.9929380689

temporal_ssim-series
Categorical, Unique

First 5 values
[0.15468 0.63109 0.61275 0.5703 0.61286 0.62478 0.65241 0.67233 0.65579\n 0.63058 0.61514 0.60407 0.86705 0.86205 0.80657 0.71755 0.73496 0.75088\n 0.67408 0.67227 0.66277 0.64529 0.64955 0.64521 0.64384 0.64088 0.63203\n 0.62714 0.62723]
[0.17387 0.16584 0.97058 0.27028 0.62714 0.46057 0.6942 0.44419 0.62484\n 0.4225 0.33123 0.3595 0.48462 0.74359 0.31956 0.48236 0.59339 0.57704\n 0.59069 0.58181 0.55557 0.56476 0.55901 0.55717 0.56435 0.55706 0.56286\n 0.56281 0.57122]
[0.17803 0.15742 0.15356 0.13974 0.1283 0.15235 0.13958 0.15079 0.14631\n 0.17144 0.14119 0.26255 0.22461 0.15953 0.17434 0.15014 0.16321 0.15916\n 0.17414 0.16986 0.15501 0.12316 0.10202 0.11624 0.10617 0.10057 0.0957\n 0.10846 0.15534]
[0.19432 0.72515 0.70511 0.68228 0.6997 0.71409 0.72622 0.74617 0.74009\n 0.70773 0.68434 0.67037 0.88857 0.88409 0.8383 0.77927 0.78715 0.7987\n 0.74961 0.7448 0.73876 0.71036 0.7212 0.72002 0.71925 0.71861 0.70772\n 0.70716 0.70431]
[0.21965 0.74327 0.73366 0.7164 0.70597 0.73962 0.73236 0.72805 0.75435\n 0.71281 0.68892 0.67615 0.87993 0.87723 0.83923 0.78496 0.80515 0.80753\n 0.79737 0.78878 0.78232 0.77443 0.77797 0.78301 0.78446 0.78379 0.77368\n 0.7725 0.76887]

Last 5 values
[1. 1. 1. 1. 1. 1. 0.99978 0.99932 0.99892\n 0.99807 0.99509 0.99483 0.99416 0.99341 0.9947 0.99477 0.99302 0.99388\n 0.99296 0.99344 0.99277 0.99138 0.9949 0.99276 0.9934 0.99509 0.99225\n 0.99014 0.98978]
[1. 1. 1. 1. 1. 1. 0.99987 0.99972 0.99953\n 0.99925 0.99808 0.99732 0.99626 0.99586 0.99654 0.99691 0.99598 0.99612\n 0.99553 0.99541 0.99635 0.99563 0.9957 0.99597 0.99601 0.99819 0.9969\n 0.99422 0.99407]
[1. 1. 1. 1. 1. 1. 0.99988 0.99955 0.99926\n 0.99871 0.99665 0.99644 0.99582 0.99526 0.99617 0.99622 0.9955 0.99597\n 0.99538 0.99543 0.99502 0.99414 0.99671 0.99523 0.99567 0.99648 0.99512\n 0.99369 0.99355]
[1. 1. 1. 1. 1. 1. 0.99992 0.99982 0.99971\n 0.9995 0.99866 0.99811 0.99731 0.997 0.99751 0.99777 0.99716 0.99723\n 0.99697 0.99654 0.99721 0.99656 0.99669 0.997 0.997 0.99878 0.99786\n 0.99622 0.99612]
[1. 1. 1. 1. 1. 1. 0.99996 0.99991 0.99984\n 0.99973 0.99917 0.99873 0.99818 0.99799 0.99824 0.99845 0.99808 0.9982\n 0.99803 0.99765 0.99805 0.99759 0.9977 0.9979 0.99789 0.99932 0.99872\n 0.99785 0.99775]

Toggle details

First 5 values

Value	Count	Frequency (%)
[0.15468 0.63109 0.61275 0.5703 0.61286 0.62478 0.65241 0.67233 0.65579 0.63058 0.61514 0.60407 0.86705 0.86205 0.80657 0.71755 0.73496 0.75088 0.67408 0.67227 0.66277 0.64529 0.64955 0.64521 0.64384 0.64088 0.63203 0.62714 0.62723]	1	< 0.1%
[0.17387 0.16584 0.97058 0.27028 0.62714 0.46057 0.6942 0.44419 0.62484 0.4225 0.33123 0.3595 0.48462 0.74359 0.31956 0.48236 0.59339 0.57704 0.59069 0.58181 0.55557 0.56476 0.55901 0.55717 0.56435 0.55706 0.56286 0.56281 0.57122]	1	< 0.1%
[0.17803 0.15742 0.15356 0.13974 0.1283 0.15235 0.13958 0.15079 0.14631 0.17144 0.14119 0.26255 0.22461 0.15953 0.17434 0.15014 0.16321 0.15916 0.17414 0.16986 0.15501 0.12316 0.10202 0.11624 0.10617 0.10057 0.0957 0.10846 0.15534]	1	< 0.1%
[0.19432 0.72515 0.70511 0.68228 0.6997 0.71409 0.72622 0.74617 0.74009 0.70773 0.68434 0.67037 0.88857 0.88409 0.8383 0.77927 0.78715 0.7987 0.74961 0.7448 0.73876 0.71036 0.7212 0.72002 0.71925 0.71861 0.70772 0.70716 0.70431]	1	< 0.1%
[0.21965 0.74327 0.73366 0.7164 0.70597 0.73962 0.73236 0.72805 0.75435 0.71281 0.68892 0.67615 0.87993 0.87723 0.83923 0.78496 0.80515 0.80753 0.79737 0.78878 0.78232 0.77443 0.77797 0.78301 0.78446 0.78379 0.77368 0.7725 0.76887]	1	< 0.1%

Last 5 values

Value	Count	Frequency (%)
[1. 1. 1. 1. 1. 1. 0.99996 0.99991 0.99984 0.99973 0.99917 0.99873 0.99818 0.99799 0.99824 0.99845 0.99808 0.9982 0.99803 0.99765 0.99805 0.99759 0.9977 0.9979 0.99789 0.99932 0.99872 0.99785 0.99775]	1	< 0.1%
[1. 1. 1. 1. 1. 1. 0.99992 0.99982 0.99971 0.9995 0.99866 0.99811 0.99731 0.997 0.99751 0.99777 0.99716 0.99723 0.99697 0.99654 0.99721 0.99656 0.99669 0.997 0.997 0.99878 0.99786 0.99622 0.99612]	1	< 0.1%
[1. 1. 1. 1. 1. 1. 0.99988 0.99955 0.99926 0.99871 0.99665 0.99644 0.99582 0.99526 0.99617 0.99622 0.9955 0.99597 0.99538 0.99543 0.99502 0.99414 0.99671 0.99523 0.99567 0.99648 0.99512 0.99369 0.99355]	1	< 0.1%
[1. 1. 1. 1. 1. 1. 0.99987 0.99972 0.99953 0.99925 0.99808 0.99732 0.99626 0.99586 0.99654 0.99691 0.99598 0.99612 0.99553 0.99541 0.99635 0.99563 0.9957 0.99597 0.99601 0.99819 0.9969 0.99422 0.99407]	1	< 0.1%
[1. 1. 1. 1. 1. 1. 0.99978 0.99932 0.99892 0.99807 0.99509 0.99483 0.99416 0.99341 0.9947 0.99477 0.99302 0.99388 0.99296 0.99344 0.99277 0.99138 0.9949 0.99276 0.9934 0.99509 0.99225 0.99014 0.98978]	1	< 0.1%

temporal_ssim-std
Numeric

Distinct count	40364
Unique (%)	100.0%
Missing (%)	0.0%
Missing (n)	0
Infinite (%)	0.0%
Infinite (n)	0

Mean	0.02356055157
Minimum	3.268403825e-06
Maximum	0.3061902016
Zeros (%)	0.0%

Toggle details

Quantile statistics

Minimum	3.268403825e-06
5-th percentile	0.001008502532
Q1	0.004254057987
Median	0.01202642106
Q3	0.03063326092
95-th percentile	0.08522067186
Maximum	0.3061902016
Range	0.3061869332
Interquartile range	0.02637920293

Descriptive statistics

Standard deviation	0.03083500377
Coef of variation	1.308755599
Kurtosis	10.89208203
Mean	0.02356055157
MAD	0.02100049252
Skewness	2.792737867
Sum	950.9981035
Variance	0.0009507974575
Memory size	315.5 KiB

Histogram with fixed size bins (bins=50)

Histogram with variable size bins (bins=[3.26840383e-06 3.37472519e-05 6.44847225e-04 1.05960293e-03 2.79264999e-03 ... 1.50498677e-01 1.81505211e-01 1.83230512e-01 2.57738183e-01 3.06190202e-01], "bayesian blocks" binning strategy used)

Value	Count	Frequency (%)
0.001388643089	1	< 0.1%
0.06934897024	1	< 0.1%
0.00230853013	1	< 0.1%
0.006332184416	1	< 0.1%
0.01952495818	1	< 0.1%
0.02368437309	1	< 0.1%
0.003352523336	1	< 0.1%
0.001224504186	1	< 0.1%
0.003255415332	1	< 0.1%
0.01856255755	1	< 0.1%
Other values (40354)	40354	> 99.9%

Minimum 5 values

Value	Count	Frequency (%)
3.268403825e-06	1	< 0.1%
6.858797702e-06	1	< 0.1%
7.000809627e-06	1	< 0.1%
8.921939611e-06	1	< 0.1%
1.370765317e-05	1	< 0.1%

Maximum 5 values

Value	Count	Frequency (%)
0.3061902016	1	< 0.1%
0.2754711064	1	< 0.1%
0.2734616573	1	< 0.1%
0.2720579759	1	< 0.1%
0.2703895542	1	< 0.1%

temporal_threshold_gaussian_difference-corr
Constant

This variable is constant and should be ignored for analysis

Constant value	0.0

temporal_threshold_gaussian_difference-euclidean
Numeric

Distinct count	26292
Unique (%)	65.1%
Missing (%)	0.0%
Missing (n)	0
Infinite (%)	0.0%
Infinite (n)	0

Mean	7724.995782
Minimum	0
Maximum	646648.8177
Zeros (%)	26.3%

Toggle details

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
Median	438.6724208
Q3	3861.255647
95-th percentile	35054.4125
Maximum	646648.8177
Range	646648.8177
Interquartile range	3861.255647

Descriptive statistics

Standard deviation	27970.22176
Coef of variation	3.620742658
Kurtosis	112.2138142
Mean	7724.995782
MAD	11063.3279
Skewness	8.796936104
Sum	311811729.7
Variance	782333305.2
Memory size	315.5 KiB

Histogram with fixed size bins (bins=50)

Histogram with variable size bins (bins=[0.00000000e+00 5.00000000e-01 1.20710678e+00 1.86602540e+00 2.11803399e+00 ... 2.89794418e+05 2.89795179e+05 3.17456124e+05 3.17470334e+05 6.46648818e+05], "bayesian blocks" binning strategy used)

Value	Count	Frequency (%)
0	10616	26.3%
1	145	0.4%
3	129	0.3%
4	127	0.3%
5	104	0.3%
2	101	0.3%
6	98	0.2%
9	79	0.2%
7	76	0.2%
8	68	0.2%
Other values (26282)	28821	71.4%

Minimum 5 values

Value	Count	Frequency (%)
0	10616	26.3%
1	145	0.4%
1.414213562	5	< 0.1%
1.732050808	2	< 0.1%
2	101	0.3%

Maximum 5 values

Value	Count	Frequency (%)
646648.8177	1	< 0.1%
645474.8584	1	< 0.1%
645223.8587	1	< 0.1%
644109.3008	1	< 0.1%
604345.4348	1	< 0.1%

temporal_threshold_gaussian_difference-manhattan
Highly correlated

This variable is highly correlated with temporal_threshold_gaussian_difference-euclidean and should be ignored for analysis

Correlation	0.9437301362

temporal_threshold_gaussian_difference-max
Highly correlated

This variable is highly correlated with temporal_threshold_gaussian_difference-euclidean and should be ignored for analysis

Correlation	0.9078857745

temporal_threshold_gaussian_difference-mean
Highly correlated

This variable is highly correlated with temporal_threshold_gaussian_difference-manhattan and should be ignored for analysis

Correlation	0.9998740525

temporal_threshold_gaussian_difference-series
Categorical

Distinct count	28753
Unique (%)	71.2%
Missing (%)	0.0%
Missing (n)	0

[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]	9153
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]	1463
[0. 3. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]	11
Other values (28750)	29737

Toggle details

Common values
Composition

Value	Count	Frequency (%)
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]	9153	22.7%
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]	1463	3.6%
[0. 3. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]	11	< 0.1%
[0. 4. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]	10	< 0.1%
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1. 0. 0. 0. 0. 0.]	8	< 0.1%
[3. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]	8	< 0.1%
[0. 0. 4. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]	7	< 0.1%
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 3. 0. 0.]	7	< 0.1%
[6. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]	7	< 0.1%
[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 185. 0. 0. 0.]	7	< 0.1%
Other values (28743)	29683	73.5%

Max length	353
Mean length	151.9922951
Min length	86
Contains chars	True
Contains digits	True
Contains spaces	True
Contains non-words	True

temporal_threshold_gaussian_difference-std
Highly correlated

This variable is highly correlated with temporal_threshold_gaussian_difference-max and should be ignored for analysis

Correlation	0.9528810237

title
Path

Distinct count	972
Unique (%)	2.4%
Missing (%)	0.0%
Missing (n)	0
Common prefix	/tmp/vimeo/

Toggle details

Value	Count	Frequency (%)
/tmp/vimeo/203102499.mp4	42	0.1%
/tmp/vimeo/193542635.mp4	42	0.1%
/tmp/vimeo/62904366.mp4	42	0.1%
/tmp/vimeo/145457926.mp4	42	0.1%
/tmp/vimeo/261591349.mp4	42	0.1%
/tmp/vimeo/162000783.mp4	42	0.1%
/tmp/vimeo/61167222.mp4	42	0.1%
/tmp/vimeo/331638223.mp4	42	0.1%
/tmp/vimeo/206551954.mp4	42	0.1%
/tmp/vimeo/113699185.mp4	42	0.1%
Other values (962)	39944	99.0%

Value	Count	Frequency (%)
282613720	42	0.1%
124083564	42	0.1%
223638407	42	0.1%
137495055	42	0.1%
286764988	42	0.1%
64224323	42	0.1%
90104510	42	0.1%
171564083	42	0.1%
190671135	42	0.1%
258946256	42	0.1%
Other values (962)	39944	99.0%

Value	Count	Frequency (%)
147161290.mp4	42	0.1%
291908182.mp4	42	0.1%
195706862.mp4	42	0.1%
116231562.mp4	42	0.1%
289435274.mp4	42	0.1%
153878361.mp4	42	0.1%
264934247.mp4	42	0.1%
119359193.mp4	42	0.1%
56385466.mp4	42	0.1%
197032404.mp4	42	0.1%
Other values (962)	39944	99.0%

Value	Count	Frequency (%)
.mp4	40364	100.0%

Value	Count	Frequency (%)
/tmp/vimeo	40364	100.0%

Unnamed_0
Numeric

Distinct count	40364
Unique (%)	100.0%
Missing (%)	0.0%
Missing (n)	0
Infinite (%)	0.0%
Infinite (n)	0

Mean	20181.5
Minimum	0
Maximum	40363
Zeros (%)	< 0.1%

Toggle details

Quantile statistics

Minimum	0
5-th percentile	2018.15
Q1	10090.75
Median	20181.5
Q3	30272.25
95-th percentile	38344.85
Maximum	40363
Range	40363
Interquartile range	20181.5

Descriptive statistics

Standard deviation	11652.22747
Coef of variation	0.5773717251
Kurtosis	-1.2
Mean	20181.5
MAD	10091
Skewness	0
Sum	814606066
Variance	135774405
Memory size	315.5 KiB

Histogram with fixed size bins (bins=50)

Histogram with variable size bins (bins=[ 0. 40363.], "bayesian blocks" binning strategy used)

Value	Count	Frequency (%)
2047	1	< 0.1%
23873	1	< 0.1%
5448	1	< 0.1%
27975	1	< 0.1%
25926	1	< 0.1%
32069	1	< 0.1%
30020	1	< 0.1%
19779	1	< 0.1%
17730	1	< 0.1%
21824	1	< 0.1%
Other values (40354)	40354	> 99.9%

Minimum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%

Maximum 5 values

Value	Count	Frequency (%)
40363	1	< 0.1%
40362	1	< 0.1%
40361	1	< 0.1%
40360	1	< 0.1%
40359	1	< 0.1%

Count
Matrix

First rows

	attack	dimension	fps	kind	path	pixels	size	size_dimension_ratio	temporal_dct-euclidean	temporal_dct-manhattan	temporal_dct-max	temporal_dct-mean	temporal_dct-series	temporal_dct-std	temporal_gaussian_difference-euclidean	temporal_gaussian_difference-manhattan	temporal_gaussian_difference-max	temporal_gaussian_difference-mean	temporal_gaussian_difference-series	temporal_gaussian_difference-std	temporal_gaussian_mse-euclidean	temporal_gaussian_mse-manhattan	temporal_gaussian_mse-max	temporal_gaussian_mse-mean	temporal_gaussian_mse-series	temporal_gaussian_mse-std	temporal_psnr-corr	temporal_psnr-euclidean	temporal_psnr-manhattan	temporal_psnr-max	temporal_psnr-mean	temporal_psnr-series	temporal_psnr-std	temporal_ssim-corr	temporal_ssim-euclidean	temporal_ssim-manhattan	temporal_ssim-max	temporal_ssim-mean	temporal_ssim-series	temporal_ssim-std	temporal_threshold_gaussian_difference-euclidean	temporal_threshold_gaussian_difference-manhattan	temporal_threshold_gaussian_difference-max	temporal_threshold_gaussian_difference-mean	temporal_threshold_gaussian_difference-series	temporal_threshold_gaussian_difference-std	title	Unnamed_0
0	/tmp/1080_14/vimeo/100019714.mp4	1920	29	features_input_QoE	/tmp/1080_14/vimeo/100019714.mp4	620006400	5583312	2907.975000	0.252337	1.336853	0.066599	0.046098	[0.0666 0.04848 0.0539 0.04585 0.0514 0.05189 0.04549 0.05111 0.04362\n 0.04726 0.04639 0.04744 0.05236 0.05045 0.05055 0.05338 0.04624 0.04377\n 0.05051 0.04773 0.04875 0.04654 0.0469 0.04413 0.04021 0.03661 0.02531\n 0.02883 0.02516]	0.008402	106.435827	555.740519	29.600014	19.163466	[17.14094 14.62532 20.43196 25.76345 23.035 21.99337 29.60001 18.04452\n 18.07827 26.92787 24.48507 20.18854 22.24979 26.5586 19.69132 25.44671\n 15.69734 19.68481 13.01696 13.01656 15.42038 14.23157 17.56447 11.50358\n 15.31109 12.30545 13.69591 19.69525 20.33641]	4.837607	2.984644e-07	0.000001	1.053228e-07	5.023095e-08	[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n 0. 0. 0. 0. 0.]	2.342241e-08	115456.999658	252.588444	1359.713449	56.062045	53.113329	[53.35501 53.27179 52.5393 51.93276 52.13002 52.13364 51.5844 52.12994\n 52.13878 51.86398 51.56448 51.77466 52.36465 52.15873 52.28177 51.48832\n 54.57353 53.58012 54.39453 54.04273 54.7499 54.25051 53.79241 56.06205\n 55.05647 55.60347 54.3021 52.6428 52.52369]	1.293025	21.738066	0.005267	0.026958	0.999676	0.999070	[0.99915 0.99917 0.99898 0.9989 0.9989 0.99888 0.99877 0.99899 0.99898\n 0.99884 0.99885 0.9991 0.99896 0.99893 0.99904 0.99891 0.99958 0.99952\n 0.99873 0.99858 0.99888 0.99884 0.99866 0.99968 0.99957 0.99965 0.99952\n 0.99926 0.99924]	0.000304	0.000000	0.0	0.0	0.000000	[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n 0. 0. 0. 0. 0.]	0.000000	/tmp/vimeo/100019714.mp4	0
1	/tmp/1080_18/vimeo/100019714.mp4	1920	29	features_input_QoE	/tmp/1080_18/vimeo/100019714.mp4	620006400	3744760	1950.395833	0.234818	1.246958	0.050686	0.042999	[0.05069 0.04208 0.04742 0.04277 0.0477 0.04871 0.04962 0.04598 0.04485\n 0.04681 0.05022 0.04099 0.0419 0.0431 0.0395 0.04774 0.04612 0.04163\n 0.04 0.03791 0.04383 0.0461 0.04414 0.04929 0.04885 0.04646 0.02709\n 0.02431 0.02112]	0.007244	143.703053	751.898502	39.259258	25.927535	[23.27982 19.20393 27.54001 37.46085 29.80623 29.85709 39.25926 24.53875\n 26.01231 34.29612 32.81723 27.96602 28.33644 32.52152 24.58757 34.82336\n 21.4878 28.63088 16.94486 17.65643 20.15098 18.97016 25.56137 16.79737\n 22.18881 17.07365 18.24345 29.50908 26.37715]	6.312803	5.360498e-07	0.000003	1.786044e-07	9.110251e-08	[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n 0. 0. 0. 0. 0.]	4.011152e-08	110891.454071	263.820416	1420.266231	53.516078	51.025302	[51.40676 51.52763 50.72243 50.07361 50.23427 50.13671 49.66057 49.97069\n 50.11321 49.95919 49.58282 49.11993 50.3446 50.18693 50.15419 49.3376\n 51.96521 50.79249 52.5344 52.22153 52.9914 52.5621 52.01983 53.51608\n 52.65551 52.948 51.979 50.51732 50.49976]	1.233202	21.727582	0.007901	0.040681	0.999457	0.998597	[0.99877 0.99878 0.9985 0.99839 0.99836 0.99833 0.99817 0.99844 0.99845\n 0.99831 0.99831 0.9986 0.99843 0.99837 0.99854 0.99836 0.99932 0.9992\n 0.99811 0.99793 0.99831 0.9983 0.99794 0.99946 0.99933 0.99938 0.99921\n 0.99886 0.99888]	0.000430	0.000000	0.0	0.0	0.000000	[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n 0. 0. 0. 0. 0.]	0.000000	/tmp/vimeo/100019714.mp4	1
2	/tmp/1080_21/vimeo/100019714.mp4	1920	29	features_input_QoE	/tmp/1080_21/vimeo/100019714.mp4	620006400	2725806	1419.690625	0.210046	1.098745	0.057873	0.037888	[0.05597 0.04431 0.04457 0.04848 0.04612 0.04676 0.0461 0.0411 0.03565\n 0.03655 0.03816 0.03004 0.02873 0.0318 0.03267 0.05787 0.04537 0.04473\n 0.03415 0.03051 0.02844 0.03888 0.03707 0.0386 0.03664 0.0356 0.01899\n 0.02584 0.01908]	0.009267	183.576788	969.811993	46.554939	33.441793	[36.95385 28.44842 35.38667 44.47777 37.29666 33.59235 43.63391 32.13871\n 29.68356 38.05815 37.54274 34.73321 36.99052 39.53819 35.65666 46.55494\n 28.70818 41.24491 24.10189 25.17032 24.16672 26.13517 30.79195 23.40052\n 30.70938 23.21131 25.47439 38.66481 37.34616]	6.612906	8.627508e-07	0.000004	3.018865e-07	1.499614e-07	[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n 0. 0. 0. 0. 0.]	5.637764e-08	106624.101915	274.443865	1477.393306	52.010982	49.055403	[48.80347 48.79413 48.54245 48.1517 48.15962 48.16522 47.91231 47.93954\n 48.07947 48.10185 47.63776 46.97418 48.36604 48.3023 47.90747 47.34584\n 49.9346 48.47929 50.68624 50.43366 51.55732 50.75039 50.45547 52.01098\n 51.05845 51.1332 49.98782 48.51015 48.42577]	1.367464	21.712794	0.011629	0.059977	0.999276	0.997932	[0.99806 0.99794 0.99779 0.99771 0.9976 0.99759 0.99749 0.99756 0.99764\n 0.9976 0.99753 0.99768 0.99765 0.99762 0.99763 0.99761 0.99898 0.99874\n 0.99719 0.99698 0.9977 0.99745 0.99723 0.99928 0.9991 0.99911 0.99885\n 0.99836 0.99837]	0.000621	0.000000	0.0	0.0	0.000000	[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n 0. 0. 0. 0. 0.]	0.000000	/tmp/vimeo/100019714.mp4	2
3	/tmp/1080_25/vimeo/100019714.mp4	1920	29	features_input_QoE	/tmp/1080_25/vimeo/100019714.mp4	620006400	1659876	864.518750	0.273246	1.310551	0.123405	0.045191	[0.10545 0.03476 0.05665 0.0489 0.03109 0.04155 0.05532 0.02619 0.02689\n 0.04187 0.02705 0.03614 0.05197 0.04679 0.08285 0.12341 0.03988 0.04548\n 0.02895 0.02579 0.02042 0.02407 0.04354 0.04438 0.05548 0.03067 0.02331\n 0.04791 0.0438 ]	0.023073	294.923620	1555.210949	85.696617	53.627964	[61.71916 46.70007 53.2895 58.81945 53.5128 51.90947 60.62349 50.15022\n 46.20171 56.46626 52.09943 54.93531 65.6245 64.75731 62.87273 85.69662\n 47.2748 60.38024 38.86879 39.82791 37.27775 41.35133 44.01872 39.55243\n 67.42116 41.91469 42.06911 66.36897 63.50701]	11.106297	2.274403e-06	0.000011	1.031254e-06	3.874084e-07	[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n 0. 0. 0. 0. 0.]	1.681990e-07	99856.689056	291.188398	1567.756324	48.218645	45.939437	[45.7169 45.5339 45.61722 45.35453 45.3045 45.3408 45.29385 45.23476\n 45.23515 45.36881 44.85762 44.29615 45.12703 45.33632 44.69145 44.17029\n 46.29264 45.25507 47.52788 47.38834 48.21865 47.63154 47.60845 48.0924\n 47.1786 47.12197 46.37989 45.58546 45.48352]	1.127917	21.673835	0.021323	0.110804	0.998356	0.996179	[0.99642 0.99609 0.99617 0.99603 0.99581 0.99573 0.99581 0.99587 0.99586\n 0.99587 0.99573 0.99584 0.99547 0.99558 0.99549 0.99557 0.99789 0.99738\n 0.99463 0.99448 0.99542 0.99507 0.99481 0.99836 0.99798 0.99798 0.99766\n 0.99711 0.99709]	0.001039	13.000000	17.0	12.0	0.586207	[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0.\n 0. 0. 0. 12. 0. 0. 0. 0. 0. 0. 0.]	2.341783	/tmp/vimeo/100019714.mp4	3
4	/tmp/1080_32/vimeo/100019714.mp4	1920	29	features_input_QoE	/tmp/1080_32/vimeo/100019714.mp4	620006400	773577	402.904688	0.681164	3.072005	0.367270	0.105931	[0.12725 0.05906 0.12856 0.08676 0.07583 0.05909 0.10439 0.07075 0.08083\n 0.08851 0.09545 0.11098 0.12725 0.13023 0.25982 0.36727 0.05681 0.07639\n 0.05672 0.06853 0.06408 0.06282 0.08982 0.04977 0.07667 0.04634 0.06402\n 0.21384 0.17419]	0.069123	654.975758	3367.619766	247.553802	116.124820	[109.0724 100.30797 111.3802 115.05614 117.02732 110.01921 117.42489\n 107.00044 112.22421 120.02952 120.41405 126.28082 131.05588 127.52287\n 196.14449 247.5538 90.75616 104.74057 88.66264 87.16741 82.58134\n 90.24625 92.75478 68.97458 107.93297 77.32476 87.62833 167.46855\n 152.86722]	36.164855	1.235430e-05	0.000053	7.733255e-06	1.840299e-06	[0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00\n 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-05 0.e+00 0.e+00 0.e+00 0.e+00\n 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00]	1.369801e-06	90005.316997	315.696897	1699.623314	44.405135	41.392300	[40.81507 40.44519 40.56376 40.51637 40.34846 40.40583 40.53446 40.42102\n 40.30165 40.5439 40.11239 39.95831 40.89532 41.21665 39.92553 39.37473\n 41.55199 41.00313 43.4465 43.43153 44.40514 43.84181 43.85396 43.18287\n 42.53863 42.19125 41.76104 41.40085 41.38935]	1.358452	21.542142	0.054138	0.282970	0.995355	0.990242	[0.99025 0.98925 0.98945 0.98932 0.98865 0.98842 0.98896 0.98896 0.98851\n 0.98881 0.98832 0.98869 0.98889 0.98922 0.98774 0.98723 0.99382 0.99308\n 0.98812 0.98823 0.98997 0.98909 0.98895 0.99535 0.99471 0.99446 0.99392\n 0.9933 0.99335]	0.002420	156.246600	215.0	133.0	7.413793	[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 82. 0.\n 0. 0. 0. 0. 0. 0. 0. 133. 0. 0. 0. 0. 0. 0.\n 0.]	28.051083	/tmp/vimeo/100019714.mp4	4
5	/tmp/1080_40/vimeo/100019714.mp4	1920	29	features_input_QoE	/tmp/1080_40/vimeo/100019714.mp4	620006400	361802	188.438542	1.380460	6.436018	0.535721	0.221932	[0.12145 0.12632 0.15593 0.14349 0.14878 0.13777 0.15942 0.1711 0.15946\n 0.15844 0.16644 0.18298 0.1912 0.19143 0.36074 0.53572 0.32975 0.3506\n 0.52629 0.48557 0.18287 0.1759 0.15401 0.07442 0.12716 0.09934 0.10144\n 0.36462 0.35337]	0.128293	1449.055980	7538.165680	478.880737	259.936748	[210.64746 216.62448 236.04294 239.28912 256.36911 255.88217 263.51395\n 264.07242 251.66504 253.91925 263.70184 267.67886 246.87097 248.67439\n 383.06241 478.88074 256.03738 276.75787 373.25854 363.35504 238.4852\n 248.66212 243.95082 130.39671 169.16855 148.78775 173.02194 291.36954\n 288.01904]	69.559442	5.660177e-05	0.000267	2.658738e-05	9.202320e-06	[1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05\n 1.e-05 1.e-05 1.e-05 1.e-05 2.e-05 3.e-05 1.e-05 1.e-05 2.e-05 2.e-05\n 1.e-05 1.e-05 1.e-05 0.e+00 0.e+00 0.e+00 0.e+00 1.e-05 1.e-05]	5.078563e-06	80402.035535	339.551508	1828.075751	40.391772	36.962905	[36.14017 35.96756 35.97736 35.93692 35.83401 35.79668 35.80001 35.78945\n 35.82051 35.88888 35.69718 35.68543 36.94007 36.94103 36.01008 35.55856\n 36.51812 36.35547 38.78623 38.85265 40.39177 40.10669 40.07149 37.99526\n 37.67052 37.54487 37.43587 37.21737 37.19406]	1.422023	21.107411	0.164015	0.856993	0.983669	0.970449	[0.96734 0.96521 0.9654 0.96528 0.9634 0.9633 0.96351 0.96296 0.96273\n 0.96317 0.96259 0.96285 0.97019 0.97013 0.96385 0.96052 0.97901 0.97751\n 0.96938 0.96992 0.97717 0.97643 0.97604 0.98367 0.98205 0.9817 0.98053\n 0.97874 0.97844]	0.007371	1126.161623	1910.0	825.0	65.862069	[ 0. 0. 0. 0. 0. 0. 0. 0. 14. 0. 0. 0. 196. 0.\n 0. 0. 0. 0. 727. 0. 143. 825. 0. 0. 0. 0. 0. 5.\n 0.]	198.480734	/tmp/vimeo/100019714.mp4	5
6	/tmp/1080_45/vimeo/100019714.mp4	1920	29	features_input_QoE	/tmp/1080_45/vimeo/100019714.mp4	620006400	233607	121.670312	1.522469	7.837951	0.514980	0.270274	[0.20665 0.21804 0.19959 0.1958 0.22699 0.20874 0.28019 0.2897 0.23319\n 0.2309 0.27288 0.28054 0.31297 0.31374 0.35443 0.51498 0.22233 0.21298\n 0.25103 0.23644 0.3653 0.403 0.42284 0.15028 0.19362 0.19194 0.17508\n 0.35901 0.31479]	0.082945	2247.107195	11671.937698	643.205017	402.480610	[346.49411 370.16693 386.91263 400.69238 425.65082 425.88708 469.4216\n 478.65802 456.94485 450.76648 470.16089 484.35873 326.9747 323.9707\n 562.82269 643.20502 260.85938 286.20517 392.67258 399.64078 557.17804\n 559.25018 553.02106 209.58881 233.00136 234.54175 263.57407 348.38303\n 350.93387]	110.135049	1.255868e-04	0.000603	4.879850e-05	2.079456e-05	[1.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 3.e-05 3.e-05 3.e-05 2.e-05\n 3.e-05 3.e-05 1.e-05 1.e-05 4.e-05 5.e-05 1.e-05 1.e-05 2.e-05 2.e-05\n 3.e-05 3.e-05 3.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05]	1.055699e-05	75657.621926	351.305802	1891.509794	37.456352	34.775524	[33.9666 33.91243 33.8908 33.8347 33.75991 33.73249 33.64989 33.70429\n 33.73553 33.76672 33.6642 33.66447 34.77093 34.76899 33.93867 33.71557\n 34.54211 34.42015 36.61192 36.64226 37.45635 37.33792 37.32014 35.61979\n 35.41339 35.32881 35.21259 35.07229 35.0363 ]	1.218143	20.359080	0.352893	1.843907	0.965706	0.936417	[0.93104 0.92663 0.92636 0.92516 0.92131 0.92232 0.92234 0.92256 0.91992\n 0.92034 0.91959 0.9186 0.9403 0.94068 0.91676 0.91435 0.95744 0.95472\n 0.94236 0.9433 0.93926 0.93858 0.93808 0.96571 0.96303 0.96189 0.95748\n 0.95341 0.95259]	0.015858	2177.373647	2924.0	2135.0	100.827586	[0.000e+00 0.000e+00 2.000e+00 4.000e+00 0.000e+00 0.000e+00 5.000e+00\n 0.000e+00 1.590e+02 0.000e+00 0.000e+00 0.000e+00 6.600e+01 0.000e+00\n 0.000e+00 0.000e+00 0.000e+00 0.000e+00 2.680e+02 0.000e+00 2.850e+02\n 2.135e+03 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00\n 0.000e+00]	391.554644	/tmp/vimeo/100019714.mp4	6
7	/tmp/144_14/vimeo/100019714.mp4	256	29	features_input_QoE	/tmp/144_14/vimeo/100019714.mp4	11022336	367377	1435.066406	4.132286	21.386290	1.164890	0.737458	[0.7053 0.72873 0.75397 0.74153 0.73253 0.70941 0.72517 0.73984 0.67203\n 0.6737 0.67534 0.65337 1.15609 1.16489 0.75877 0.81031 0.87199 0.87629\n 0.38142 0.38442 1.08619 1.0844 1.08328 0.46201 0.4911 0.49648 0.51633\n 0.61981 0.63161]	0.212074	4709.843802	25161.628052	961.252563	867.642347	[894.88721 939.02698 931.10828 956.88922 944.73645 930.59918 927.93011\n 937.89758 961.25256 947.33118 939.12109 959.67383 724.05774 717.22778\n 697.25616 703.00574 629.86957 648.14661 941.49438 944.20654 740.85638\n 763.74713 751.53027 917.75153 943.79517 946.94043 938.6557 947.55365\n 935.07959]	110.068103	3.081068e-04	0.001644	6.402940e-05	5.667955e-05	[6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05\n 6.e-05 6.e-05 5.e-05 4.e-05 4.e-05 4.e-05 4.e-05 4.e-05 6.e-05 6.e-05\n 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05]	7.801902e-06	72720.075628	358.806236	1931.582993	37.434479	33.393690	[32.67593 32.61457 32.59976 32.59045 32.58594 32.56009 32.56622 32.57177\n 32.64854 32.65896 32.63733 32.62614 32.47341 32.47188 32.8096 32.6903\n 32.06679 32.03914 36.80385 36.7925 37.43448 37.34307 37.34161 32.89744\n 32.833 32.81346 32.79909 32.74625 32.72543]	1.725060	17.641211	1.032007	5.486362	0.893660	0.810815	[0.80051 0.79803 0.79781 0.79699 0.79879 0.80033 0.80189 0.80361 0.8038\n 0.80326 0.79835 0.79688 0.79236 0.79186 0.77783 0.77207 0.79182 0.79119\n 0.89366 0.89356 0.86188 0.861 0.86078 0.80552 0.80363 0.80329 0.80394\n 0.80447 0.80454]	0.030571	766.370667	1438.0	552.0	49.586207	[ 0. 0. 0. 0. 0. 0. 0. 0. 4. 0. 0. 0. 13. 0.\n 0. 0. 0. 0. 330. 0. 407. 552. 0. 0. 7. 0. 0. 66.\n 59.]	133.393252	/tmp/vimeo/100019714.mp4	7
8	/tmp/144_18/vimeo/100019714.mp4	256	29	features_input_QoE	/tmp/144_18/vimeo/100019714.mp4	11022336	236196	922.640625	4.131185	21.396200	1.162520	0.737800	[0.69907 0.72234 0.75323 0.74203 0.72647 0.70525 0.72115 0.73433 0.67071\n 0.67222 0.68395 0.67415 1.15408 1.16252 0.75882 0.81001 0.87472 0.88095\n 0.37862 0.38248 1.07811 1.08131 1.07684 0.46437 0.48635 0.49605 0.53363\n 0.63492 0.63755]	0.210137	4757.002773	25423.194214	967.797913	876.661869	[890.7052 943.35889 943.53119 954.88361 950.9173 940.79761 939.07129\n 949.04401 967.79791 964.13696 946.59143 965.87073 733.1969 731.48334\n 703.258 712.55896 632.49146 655.94171 939.03601 933.99548 766.27399\n 793.83655 769.05652 906.34845 952.57355 955.27441 955.67261 967.41687\n 958.0733 ]	108.521476	3.162379e-04	0.001687	6.708162e-05	5.816079e-05	[6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05\n 6.e-05 7.e-05 5.e-05 5.e-05 4.e-05 4.e-05 4.e-05 4.e-05 6.e-05 6.e-05\n 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 7.e-05 7.e-05]	8.112938e-06	72480.198811	359.393748	1934.797955	37.130802	33.282829	[32.59635 32.5294 32.50158 32.50262 32.52557 32.48723 32.49753 32.49747\n 32.57973 32.57553 32.54644 32.51487 32.41948 32.41627 32.72828 32.56532\n 32.03686 31.99496 36.62937 36.63296 37.1308 37.00871 37.04025 32.85073\n 32.76666 32.74046 32.6896 32.5976 32.59941]	1.656961	17.530773	1.060196	5.637801	0.891085	0.805593	[0.79626 0.79271 0.79211 0.79159 0.79279 0.79494 0.79644 0.79745 0.79686\n 0.79603 0.79163 0.79053 0.78632 0.78569 0.77466 0.76819 0.79015 0.78912\n 0.89108 0.891 0.85687 0.85599 0.85608 0.80251 0.79923 0.79815 0.79659\n 0.79597 0.79528]	0.031066	821.780993	1512.0	617.0	52.137931	[ 0. 0. 0. 0. 0. 0. 0. 0. 9. 0. 0. 0. 13. 0.\n 0. 0. 0. 0. 320. 0. 430. 617. 0. 0. 5. 0. 0. 66.\n 52.]	143.417818	/tmp/vimeo/100019714.mp4	8
9	/tmp/144_21/vimeo/100019714.mp4	256	29	features_input_QoE	/tmp/144_21/vimeo/100019714.mp4	11022336	167684	655.015625	4.139468	21.471137	1.161668	0.740384	[0.70505 0.72195 0.75398 0.74055 0.72706 0.70519 0.72769 0.73784 0.66953\n 0.66919 0.67971 0.6714 1.15283 1.16167 0.75854 0.81049 0.86899 0.88851\n 0.38177 0.38436 1.07561 1.07604 1.07314 0.48864 0.50186 0.49504 0.55046\n 0.64496 0.64908]	0.206640	4743.208872	25376.376160	972.330994	875.047454	[886.44415 941.62897 941.31488 944.72278 951.9942 938.19464 919.15582\n 937.44861 972.33099 967.84637 945.48901 963.98486 734.66357 727.72614\n 727.39758 760.74561 639.36322 674.48285 944.26904 957.62024 769.86279\n 785.63031 777.49573 880.20538 934.01514 940.13623 944.56128 945.56433\n 922.08142]	100.429604	3.190335e-04	0.001704	6.741181e-05	5.877520e-05	[6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 7.e-05 7.e-05\n 6.e-05 7.e-05 5.e-05 5.e-05 4.e-05 5.e-05 4.e-05 4.e-05 6.e-05 6.e-05\n 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 7.e-05 6.e-05]	7.430486e-06	72197.998574	360.088101	1938.577484	36.850605	33.152501	[32.47597 32.42701 32.39146 32.38642 32.40274 32.38167 32.37563 32.41371\n 32.44544 32.44618 32.40408 32.35803 32.37979 32.36403 32.60811 32.42762\n 31.98203 31.94487 36.45233 36.42262 36.8506 36.76121 36.71353 32.77531\n 32.68106 32.65655 32.58378 32.46574 32.44501]	1.601542	17.421209	1.087640	5.784287	0.886613	0.800542	[0.78967 0.78595 0.78588 0.78661 0.78629 0.78832 0.79023 0.79265 0.7906\n 0.79107 0.78426 0.78216 0.78335 0.78268 0.76907 0.75873 0.78714 0.78565\n 0.88661 0.88613 0.85396 0.85361 0.85239 0.79996 0.79511 0.79411 0.79253\n 0.79067 0.79031]	0.031752	683.941518	1302.0	508.0	44.896552	[ 0. 0. 0. 0. 0. 0. 6. 3. 10. 0. 6. 0. 11. 0.\n 0. 0. 0. 0. 310. 0. 325. 508. 0. 1. 0. 0. 0. 72.\n 50.]	118.804489	/tmp/vimeo/100019714.mp4	9

Last rows

	attack	dimension	fps	kind	path	pixels	size	size_dimension_ratio	temporal_dct-euclidean	temporal_dct-manhattan	temporal_dct-max	temporal_dct-mean	temporal_dct-series	temporal_dct-std	temporal_gaussian_difference-euclidean	temporal_gaussian_difference-manhattan	temporal_gaussian_difference-max	temporal_gaussian_difference-mean	temporal_gaussian_difference-series	temporal_gaussian_difference-std	temporal_gaussian_mse-euclidean	temporal_gaussian_mse-manhattan	temporal_gaussian_mse-max	temporal_gaussian_mse-mean	temporal_gaussian_mse-series	temporal_gaussian_mse-std	temporal_psnr-corr	temporal_psnr-euclidean	temporal_psnr-manhattan	temporal_psnr-max	temporal_psnr-mean	temporal_psnr-series	temporal_psnr-std	temporal_ssim-corr	temporal_ssim-euclidean	temporal_ssim-manhattan	temporal_ssim-max	temporal_ssim-mean	temporal_ssim-series	temporal_ssim-std	temporal_threshold_gaussian_difference-euclidean	temporal_threshold_gaussian_difference-manhattan	temporal_threshold_gaussian_difference-max	temporal_threshold_gaussian_difference-mean	temporal_threshold_gaussian_difference-series	temporal_threshold_gaussian_difference-std	title	Unnamed_0
40354	/tmp/480_32/vimeo/99906664.mp4	854	29	features_input_QoE	/tmp/480_32/vimeo/99906664.mp4	102480000	163426	191.365340	2.686372	13.086220	0.876415	0.451249	[0.4056 0.62216 0.51602 0.61218 0.20095 0.19302 0.21067 0.1912 0.25288\n 0.17641 0.49654 0.24731 0.80498 0.25176 0.23213 0.19051 0.19576 0.47338\n 0.44861 0.77235 0.42906 0.50865 0.87642 0.57937 0.70134 0.64854 0.65627\n 0.58023 0.61188]	0.212656	2089.639295	10891.330688	513.352600	375.563127	[411.3428 480.7865 440.95874 463.92334 260.35883 301.9166 240.81104\n 245.59189 239.53479 240.14368 309.93811 278.81076 372.80573 285.01947\n 275.24344 274.45444 319.91391 332.08124 329.91422 427.63687 469.02011\n 472.45334 513.3526 475.73206 475.38794 495.78323 511.21838 478.99081\n 468.20584]	97.593486	0.000187	0.000872	0.000058	0.000030	[3.e-05 4.e-05 4.e-05 4.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05\n 2.e-05 2.e-05 2.e-05 1.e-05 1.e-05 1.e-05 2.e-05 3.e-05 2.e-05 4.e-05\n 4.e-05 4.e-05 5.e-05 6.e-05 5.e-05 6.e-05 6.e-05 5.e-05 5.e-05]	0.000017	86963.809059	324.064020	1744.321616	44.201488	39.850979	[38.32939 37.43695 37.3867 37.19118 42.3513 42.0845 43.79471 44.20149\n 43.98877 41.17216 40.71918 40.10892 39.82183 40.0456 39.99464 39.80909\n 39.92934 39.62279 39.48803 39.39099 38.58174 39.00743 39.10327 38.91248\n 38.60727 38.73224 38.63544 38.60458 38.62638]	1.840647	21.087556	0.175227	0.920348	0.981571	0.968264	[0.96622 0.95956 0.95864 0.95465 0.97381 0.97186 0.97547 0.98157 0.98046\n 0.9777 0.97671 0.97377 0.97308 0.97505 0.97363 0.97283 0.9731 0.96759\n 0.96869 0.96673 0.96209 0.96465 0.9655 0.96369 0.95976 0.96075 0.96132\n 0.96077 0.96003]	0.007183	4535.771489	10319.0	2745.0	355.827586	[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 28.\n 12. 0. 0. 0. 0. 0. 0. 0. 0. 1411. 72. 303.\n 41. 2745. 1939. 1673. 2095.]	763.418766	/tmp/vimeo/99906664.mp4	40354
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40356	/tmp/480_45/vimeo/99906664.mp4	854	29	features_input_QoE	/tmp/480_45/vimeo/99906664.mp4	102480000	46776	54.772834	5.513154	28.603953	1.609446	0.986343	[1.42778 1.25113 1.01635 1.17082 0.87813 0.99806 0.87342 0.67347 0.63701\n 0.80222 0.64493 0.74927 0.7228 0.76973 0.6849 0.59802 0.74081 1.3782\n 0.85597 1.38696 1.1234 1.04183 0.85903 1.12388 1.60945 1.29369 1.10389\n 1.32265 0.86613]	0.274273	7251.166793	38176.082642	1993.751831	1316.416643	[1993.75183 1672.92102 1456.55872 1729.39807 1357.21521 1919.38281\n 1144.01941 1093.0625 965.76947 1156.67981 870.3031 1023.44495\n 934.71143 1160.84155 1036.29749 1022.32123 1383.12708 1560.5835\n 1216.66138 1340.69275 1514.21008 1503.26147 1106.96338 1294.74438\n 1648.03345 1256.93286 1154.95764 1299.70801 1359.52808]	283.073605	0.001081	0.005361	0.000366	0.000185	[3.7e-04 2.9e-04 2.3e-04 2.9e-04 1.7e-04 3.3e-04 1.2e-04 1.1e-04 9.0e-05\n 1.2e-04 8.0e-05 1.0e-04 9.0e-05 1.2e-04 1.0e-04 1.0e-04 1.9e-04 2.5e-04\n 1.4e-04 2.4e-04 2.5e-04 2.1e-04 1.4e-04 2.0e-04 3.0e-04 2.0e-04 1.7e-04\n 2.0e-04 1.9e-04]	0.000078	77188.533751	348.185323	1874.683619	38.196856	35.355737	[32.86828 33.46618 33.86153 33.24375 36.16337 34.22851 37.23039 37.53889\n 38.19686 36.05019 37.05443 36.25376 36.48358 35.61753 36.08275 36.104\n 35.13505 34.7931 35.13161 35.26072 34.40584 34.40009 35.59417 35.22988\n 34.16684 35.1903 35.54866 35.24975 34.76638]	1.252295	19.908276	0.484494	2.529813	0.952843	0.912765	[0.89406 0.86818 0.8737 0.86108 0.93363 0.92928 0.94135 0.95284 0.9506\n 0.9382 0.936 0.92489 0.92417 0.92519 0.9257 0.92229 0.91703 0.90729\n 0.90743 0.90411 0.89807 0.90697 0.91174 0.90696 0.8961 0.903 0.90418\n 0.90372 0.90242]	0.022008	6937.867756	22509.0	3913.0	776.172414	[ 0. 629. 257. 0. 63. 258. 0. 2384. 0. 0. 697. 521.\n 345. 0. 0. 0. 0. 120. 8. 369. 299. 1863. 587. 1702.\n 1514. 3913. 2024. 2711. 2245.]	1028.275157	/tmp/vimeo/99906664.mp4	40356
40357	/tmp/720_14/vimeo/99906664.mp4	1280	29	features_input_QoE	/tmp/720_14/vimeo/99906664.mp4	230400000	3468068	2709.428125	0.706837	3.482205	0.197177	0.120076	[0.10202 0.14518 0.1511 0.13951 0.06635 0.04263 0.06332 0.04183 0.05332\n 0.0744 0.09643 0.07059 0.09541 0.06145 0.0814 0.08742 0.06329 0.18132\n 0.08352 0.17307 0.14173 0.15812 0.18524 0.19515 0.17487 0.18858 0.17682\n 0.19097 0.19718]	0.053009	512.178567	2621.091286	130.962753	90.382458	[ 98.23936 118.18528 122.81747 116.59932 59.31076 48.56787 43.5577\n 46.49623 51.16934 61.04626 62.49995 68.52885 72.49673 71.96449\n 74.20904 77.66302 66.49918 86.07783 74.28216 102.05376 90.48309\n 121.32703 123.86097 121.60663 122.85917 126.14815 130.65759 130.96275\n 130.9213 ]	29.610233	0.000018	0.000079	0.000006	0.000003	[0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00\n 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00\n 0.e+00 0.e+00 0.e+00 1.e-05 0.e+00 1.e-05 1.e-05 1.e-05 1.e-05]	0.000002	98933.294613	294.544928	1585.328390	49.647059	45.333504	[44.28171 43.73033 43.12739 43.22578 46.25719 47.46852 49.64706 49.44882\n 48.72376 47.05857 47.43628 45.83227 45.83192 45.74548 45.59139 45.57726\n 45.80643 44.7426 45.08983 44.36157 44.02764 44.04214 44.30362 44.0148\n 44.06193 43.81756 43.73609 43.64761 44.03605]	1.784666	21.587972	0.044273	0.233828	0.994226	0.991937	[0.99199 0.99185 0.98997 0.99034 0.99224 0.99356 0.9939 0.99294 0.99281\n 0.99334 0.99372 0.99332 0.99327 0.99326 0.99294 0.99373 0.99423 0.99297\n 0.99269 0.99258 0.99153 0.99019 0.99007 0.99043 0.99077 0.98927 0.98923\n 0.98867 0.99038]	0.001606	48.805737	72.0	43.0	2.482759	[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n 0. 0. 0. 22. 0. 0. 0. 43. 0. 0. 7.]	8.716297	/tmp/vimeo/99906664.mp4	40357
40358	/tmp/720_18/vimeo/99906664.mp4	1280	29	features_input_QoE	/tmp/720_18/vimeo/99906664.mp4	230400000	1914076	1495.371875	0.733791	3.639000	0.208779	0.125483	[0.09265 0.14408 0.1489 0.13304 0.05962 0.05527 0.07182 0.04799 0.06678\n 0.08333 0.09207 0.07083 0.11932 0.06673 0.08299 0.09346 0.061 0.18742\n 0.11635 0.19253 0.14146 0.17595 0.172 0.20878 0.19286 0.19328 0.1893\n 0.19584 0.18337]	0.053116	574.769350	2973.822594	152.530228	102.545607	[113.10737 115.05895 126.33367 123.23911 68.82883 62.12012 52.35403\n 61.62167 63.55954 71.39075 75.84057 82.61353 88.19814 85.50377\n 84.72557 88.26851 77.86278 100.24495 92.32559 116.29587 102.88899\n 140.10588 137.03258 132.97887 134.32889 139.8206 148.00827 152.53023\n 136.63498]	29.599257	0.000020	0.000090	0.000007	0.000003	[0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00\n 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00\n 0.e+00 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05]	0.000002	97192.150300	298.799444	1608.294990	48.678482	44.541552	[43.3694 42.91336 42.35286 42.35656 45.85966 46.62314 48.67848 48.5815\n 47.99856 46.03478 46.36737 45.00797 45.01863 44.81681 44.80374 44.79723\n 44.83511 43.9329 44.31535 43.85701 43.2735 43.40772 43.30394 43.33761\n 43.13262 43.27741 43.07419 43.02778 43.34979]	1.737653	21.540724	0.056301	0.298159	0.992270	0.989719	[0.98965 0.98956 0.98737 0.98786 0.99049 0.99127 0.99168 0.99116 0.99103\n 0.9914 0.99174 0.99147 0.99138 0.99131 0.99112 0.99193 0.99227 0.99114\n 0.99039 0.99047 0.98911 0.98788 0.98732 0.98778 0.98803 0.98672 0.9865\n 0.98601 0.9878 ]	0.001896	184.393601	289.0	152.0	9.965517	[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n 0. 0. 0. 0. 0. 0. 0. 152. 0. 0. 0. 96. 0. 0.\n 41.]	32.758766	/tmp/vimeo/99906664.mp4	40358
40359	/tmp/720_21/vimeo/99906664.mp4	1280	29	features_input_QoE	/tmp/720_21/vimeo/99906664.mp4	230400000	1206187	942.333594	0.789492	3.961331	0.230873	0.136598	[0.1139 0.16666 0.16409 0.17406 0.09018 0.06471 0.08674 0.06195 0.06175\n 0.10029 0.07453 0.07395 0.16295 0.07481 0.09808 0.0794 0.07291 0.19438\n 0.16973 0.23087 0.14549 0.18069 0.17854 0.20478 0.18218 0.19246 0.20655\n 0.17291 0.18181]	0.053236	697.156811	3640.344452	177.984726	125.529119	[135.30464 145.2886 161.96721 155.89163 96.51349 84.41102 71.67133\n 86.89745 86.49929 93.18482 92.79334 102.11083 109.38808 109.81552\n 107.258 98.72971 91.83904 120.6922 113.00295 135.11395 132.27342\n 154.11873 161.37234 170.79102 157.80052 159.12436 172.1236 177.98473\n 156.38264]	31.654595	0.000025	0.000116	0.000008	0.000004	[0.e+00 1.e-05 1.e-05 1.e-05 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00\n 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-05 0.e+00 0.e+00\n 0.e+00 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05]	0.000002	95770.057358	302.320663	1627.300579	47.874648	43.886187	[42.48013 42.12606 41.55479 41.6209 45.29193 45.85432 47.57273 47.87465\n 47.46884 45.32994 45.6685 44.36454 44.47506 44.21181 44.27336 44.02669\n 44.18078 43.34672 43.21538 43.33878 42.71124 43.05793 42.90818 42.70922\n 42.48034 42.59695 42.59846 42.49966 42.86156]	1.699317	21.500516	0.066616	0.353061	0.990543	0.987825	[0.98766 0.98729 0.98523 0.98579 0.98887 0.98928 0.9895 0.99003 0.9899\n 0.99023 0.99035 0.99003 0.98983 0.98982 0.9895 0.99013 0.99054 0.98945\n 0.98824 0.98853 0.98692 0.98575 0.98527 0.98541 0.98547 0.98437 0.98426\n 0.98383 0.98545]	0.002192	345.163729	508.0	323.0	17.517241	[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n 0. 0. 0. 0. 0. 0. 0. 48. 0. 0. 0. 323. 29. 0.\n 108.]	61.655115	/tmp/vimeo/99906664.mp4	40359
40360	/tmp/720_25/vimeo/99906664.mp4	1280	29	features_input_QoE	/tmp/720_25/vimeo/99906664.mp4	230400000	688493	537.885156	1.106082	5.492534	0.407173	0.189398	[0.15022 0.17907 0.17348 0.19283 0.10734 0.102 0.19152 0.08399 0.13934\n 0.11928 0.14786 0.09393 0.28992 0.0879 0.10246 0.12736 0.09772 0.20198\n 0.2713 0.40717 0.17944 0.20633 0.30928 0.27203 0.27041 0.22838 0.2766\n 0.25254 0.23085]	0.079469	871.195168	4570.453583	221.637665	157.601848	[172.37947 181.50914 197.54945 186.28757 113.29587 111.814 107.41019\n 112.28607 114.79506 110.56125 117.51507 126.865 148.70821 136.46294\n 130.56923 128.18283 126.3516 144.03951 143.06604 184.24284 174.33582\n 184.44185 201.89711 199.28067 195.63269 195.0594 216.47179 221.63766\n 187.80527]	36.515982	0.000033	0.000155	0.000010	0.000005	[1.e-05 1.e-05 1.e-05 1.e-05 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00\n 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-05 0.e+00 1.e-05\n 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05]	0.000003	93618.132087	307.672130	1656.087934	47.233033	42.893520	[41.36967 40.92834 40.43252 40.39421 44.816 44.90711 46.0965 47.23303\n 46.72536 44.39785 44.52825 43.35924 43.4429 43.03675 43.15939 42.94061\n 43.22922 42.34739 42.41925 42.49492 41.96866 42.13849 41.85569 41.86439\n 41.4789 41.64012 41.50933 41.47358 41.72436]	1.749741	21.449060	0.080168	0.424215	0.988942	0.985372	[0.98478 0.98404 0.98198 0.98238 0.98739 0.98712 0.98628 0.98894 0.98874\n 0.98871 0.9884 0.98807 0.98793 0.98763 0.98778 0.98804 0.98847 0.98714\n 0.98613 0.98597 0.9843 0.98338 0.98244 0.98289 0.98188 0.9812 0.98099\n 0.98089 0.98187]	0.002764	145.787517	236.0	121.0	8.137931	[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n 0. 0. 0. 0. 0. 0. 0. 58. 0. 0. 0. 57. 0. 0.\n 121.]	25.819966	/tmp/vimeo/99906664.mp4	40360
40361	/tmp/720_32/vimeo/99906664.mp4	1280	29	features_input_QoE	/tmp/720_32/vimeo/99906664.mp4	230400000	314143	245.424219	1.721470	8.419424	0.627090	0.290325	[0.19997 0.29066 0.26615 0.37353 0.11859 0.22569 0.24707 0.13428 0.33972\n 0.13058 0.42542 0.14623 0.62709 0.11217 0.13077 0.21881 0.15447 0.33627\n 0.36777 0.49254 0.21404 0.31132 0.62704 0.28106 0.38891 0.313 0.34727\n 0.3019 0.2971 ]	0.133790	1418.993176	7414.395996	366.879974	255.668827	[276.17035 300.1683 316.38055 312.47803 159.59328 243.03329 186.20804\n 169.89621 188.22672 158.54871 220.43604 184.03598 276.06174 188.5697\n 177.9066 202.29289 207.79808 240.82599 231.81799 286.80173 249.56961\n 310.51074 366.87997 301.04166 347.34439 320.90103 339.07822 356.34573\n 295.47443]	63.764573	0.000074	0.000351	0.000024	0.000012	[1.e-05 2.e-05 2.e-05 2.e-05 0.e+00 1.e-05 0.e+00 0.e+00 0.e+00 0.e+00\n 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 2.e-05 1.e-05 1.e-05\n 1.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05]	0.000007	89740.534980	317.383247	1708.267915	45.904000	41.094210	[39.24355 38.71068 38.46136 38.23369 43.5395 42.95549 44.13085 45.904\n 45.64071 42.53673 42.19854 41.59482 41.48563 41.5473 41.61796 41.26677\n 41.61426 40.80637 40.64346 40.68439 40.0532 40.11799 39.93359 40.09968\n 39.4715 39.84702 39.75249 39.72517 39.91533]	1.905112	21.294177	0.121396	0.638681	0.985800	0.977977	[0.97617 0.97374 0.97233 0.97027 0.98256 0.97981 0.97853 0.98567 0.9858\n 0.98369 0.98362 0.9826 0.98221 0.98298 0.98273 0.98186 0.98215 0.97964\n 0.97788 0.97818 0.97549 0.97463 0.97432 0.97529 0.97136 0.97179 0.97211\n 0.97215 0.97178]	0.004810	737.233342	1467.0	551.0	50.586207	[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n 0. 0. 0. 0. 0. 0. 0. 110. 0. 12. 0. 551. 372. 222.\n 200.]	127.211883	/tmp/vimeo/99906664.mp4	40361
40362	/tmp/720_40/vimeo/99906664.mp4	1280	29	features_input_QoE	/tmp/720_40/vimeo/99906664.mp4	230400000	137855	107.699219	2.613827	13.102989	0.992073	0.451827	[0.3915 0.683 0.5211 0.60297 0.44816 0.4401 0.33029 0.28376 0.24152\n 0.29247 0.27752 0.25916 0.33289 0.27617 0.27843 0.22699 0.30099 0.43814\n 0.42725 0.46735 0.50743 0.5324 0.99207 0.46476 0.65678 0.78887 0.53376\n 0.63338 0.4738 ]	0.177318	3118.062174	16283.026978	823.425415	561.483689	[762.1452 645.11981 591.69733 721.9671 536.62579 694.51288 451.29233\n 527.53705 380.18805 506.05353 369.06445 341.28818 366.33679 420.11774\n 357.55356 344.58704 577.51453 560.12012 466.22864 459.95694 670.97113\n 703.67566 673.3418 715.39954 823.42542 644.48193 591.92438 624.81152\n 755.08856]	141.379615	0.000251	0.001234	0.000069	0.000043	[6.e-05 6.e-05 5.e-05 7.e-05 4.e-05 6.e-05 2.e-05 3.e-05 2.e-05 3.e-05\n 2.e-05 1.e-05 2.e-05 2.e-05 2.e-05 1.e-05 4.e-05 4.e-05 3.e-05 4.e-05\n 5.e-05 6.e-05 7.e-05 6.e-05 7.e-05 6.e-05 5.e-05 6.e-05 7.e-05]	0.000019	84149.453505	331.221032	1783.040284	42.526700	38.515852	[36.63475 36.28699 36.23752 35.87968 40.70023 39.5952 41.37931 41.56902\n 42.5267 39.58737 39.96646 39.39957 39.32755 39.14519 39.29743 39.22301\n 38.7508 38.33746 38.38839 38.4022 37.49675 37.29022 37.5292 37.3505\n 37.00878 37.35716 37.65887 37.48504 37.14839]	1.646937	20.845466	0.238118	1.252753	0.972191	0.956802	[0.95291 0.94455 0.93992 0.93422 0.96689 0.95959 0.95781 0.97219 0.97117\n 0.96853 0.96791 0.96568 0.96466 0.96502 0.96528 0.96397 0.96251 0.95704\n 0.95699 0.95828 0.95192 0.95141 0.95339 0.95329 0.9453 0.94857 0.95006\n 0.94928 0.94889]	0.009438	2778.917775	6532.0	1643.0	225.241379	[ 0. 0. 0. 0. 0. 0. 0. 17. 0. 0. 0. 8.\n 55. 0. 0. 0. 0. 0. 0. 0. 0. 702. 467. 190.\n 0. 1588. 838. 1024. 1643.]	464.279468	/tmp/vimeo/99906664.mp4	40362
40363	/tmp/720_45/vimeo/99906664.mp4	1280	29	features_input_QoE	/tmp/720_45/vimeo/99906664.mp4	230400000	88143	68.861719	4.562368	23.042087	1.807880	0.794555	[0.98915 0.98166 0.89329 1.1107 0.57169 0.56152 0.64841 0.41145 0.415\n 0.61705 0.68364 0.50765 0.56968 0.57949 0.43719 0.55563 0.64327 0.79749\n 0.55277 0.78158 0.87191 0.9662 0.90155 0.8899 1.80788 1.15162 1.01112\n 1.14915 0.98444]	0.294021	7074.793223	37388.125366	1817.816772	1289.245702	[1726.52954 1312.33936 1199.15955 1475.57983 1132.85571 1758.50061\n 973.03052 1289.06726 1150.78271 1290.39185 824.87677 1004.00116\n 895.56134 1175.80554 1086.53796 999.82721 1355.73291 1347.34741\n 1165.85767 1057.20667 1409.59583 1479.50378 1110.46826 1526.24292\n 1817.81677 1405.85718 1301.53455 1491.85083 1624.26367]	252.587930	0.000876	0.004429	0.000269	0.000153	[2.6e-04 1.6e-04 1.5e-04 2.0e-04 1.2e-04 2.6e-04 9.0e-05 1.3e-04 1.1e-04\n 1.3e-04 6.0e-05 9.0e-05 7.0e-05 1.1e-04 1.0e-04 8.0e-05 1.5e-04 1.6e-04\n 1.2e-04 1.2e-04 1.8e-04 1.9e-04 1.4e-04 2.0e-04 2.7e-04 2.0e-04 1.7e-04\n 2.1e-04 2.2e-04]	0.000056	77858.644126	346.585785	1866.117246	37.969234	35.651129	[33.70735 34.24583 34.25455 33.84825 37.17042 35.04451 37.96923 36.99126\n 37.6384 36.02565 37.43824 36.61707 36.8791 35.98426 36.29042 36.61672\n 35.53023 35.49564 35.64897 36.14508 34.99981 34.82067 35.93219 34.82421\n 34.07592 34.94593 35.349 34.96434 34.4295 ]	1.162182	20.159477	0.413814	2.181111	0.948741	0.924789	[0.90762 0.90056 0.88404 0.88504 0.94088 0.93662 0.93335 0.94874 0.94755\n 0.94432 0.94035 0.93444 0.93513 0.93564 0.93207 0.93464 0.93204 0.92225\n 0.92353 0.91996 0.91771 0.92196 0.92675 0.9222 0.91207 0.92057 0.9215\n 0.91989 0.91745]	0.015756	10498.892608	28136.0	6692.0	970.206897	[ 0. 65. 0. 0. 0. 27. 0. 2952. 0. 0. 348. 324.\n 243. 0. 0. 0. 0. 61. 0. 0. 9. 3591. 1328. 1051.\n 511. 6692. 3547. 3171. 4216.]	1691.041352	/tmp/vimeo/99906664.mp4	40363

Overview

Variables

Correlations

Missing values

Sample

First rows

Last rows